VOLUME 11, ISSUE 6, JUNE 2024

Abstract: Incorporating a variety of rice flours in tart-making introduces a delightful twist to traditional recipes, adding both diversity and nutritional benefits to the culinary experience. This study aimed to develop organic rice tart crust with Bilimbi jam filling, using three different types of rice: red, black, and brown. The sensory qualities of the tart, including appearance, aroma, taste, and texture, were evaluated in three trials by semi-trained panelists who were Food Technology teachers at Capiz State University. The study used a Completely Randomized Design (CRD), using three treatments in three trials. All three types of tarts were well-accepted, but the brown rice tart received the highest acceptability overall. Despite the differences in rice type, there were no significant differences in the sensory qualities among the three types of tart. However, there was a significant difference in consumer acceptability across the three types, with the brown rice tart being the most favored. In terms of shelf-life, the tarts made from brown rice lasted the longest at room temperature, remaining fresh for up to 20 days. When stored at chilling temperatures, the shelf-life of all types of tart extended significantly, with brown rice tart lasting up to 28 days. The study also confirmed the safety of the tart for human consumption based on microbial analysis, adhering to the BFAD standard for microorganism testing for baked goods. This study contributes to the development of diverse organic rice products, offering potential benefits for both consumers and producers.

Keywords: Development, Acceptability, Kamias Jam, Tart, Black Rice, Red Rice, and Brown Rice.

Abstract: The Fire Department Alerting System project is centred around an intricate integration of gas and fire sensors with the ESP32 microcontroller, showcasing a robust framework for enhanced safety measures. The core functionality revolves around real-time hazard detection, with a dedicated buzzer alert mechanism poised to promptly respond to the identification of gas or fire. In the absence of these hazards, the alert components remain dormant.Expanding on its capabilities, the system leverages the ESP32's capabilities to seamlessly transmit sensor data to the Blynk IoT platform. This integration not only facilitates immediate alerts but also allows for continuous monitoring and in-depth analysis of the environmental conditions. The collaborative synergy of hardware components and IoT connectivity positions this Fire Departmrnt Alerting System as a comprehensive solution, providing a proactive approach to mitigating potential risks associated with gas leaks or fire incidents.

Keywords: Fire Department Alerting System, Gas sensors, Buzzer alert mechanism

Abstract: Synthetic work related to penicillin has led to a considerable advance in the Chemistry of oxazoles and oxazolones. New general methods have been devised for constructing the ring, and much light has been thrown on the behaviour of functional groups attached to an oxazole nucleus. Most of the oxazolones previously described were of the type II, obtainable by the Erlenmeyer Synthesis from acylglycines and aldehydes from the action of acetic anhydride on α-acylamino acids. The acetic anhydride method of preparing oxazolones has remained the most general procedure. The objective of the present investigation was to develop a method for fast synthesis of unsaturated azlactones using condensation between saturated azlactones and Schiff bases and their subsequent aminolysis by using green chemistry technique which led to better yield and remarkable reaction rate enhancement with optimum utilization of energy. The present investigation is carried out with three sequential objectives: (a) Preparation of Schiff Bases (b) Synthesis of 4- Arylmethylene-2-phenyl-2-oxazolin-5-ones (i.e. Unsaturated azlactones) and (c) Aminolysis of 4- Arylmethylene-2-phenyl-2-oxazolin-5-ones in presence of glacial acetic acid. 2-Phenyl-2-oxazolin-5-one (2), i.e. saturated azlactone was generated by cyclizing hippuric acid (1) with p-toluenesulphonyl chloride (Tosyl Chloride) in the presence of triethylamine base in dry benzene at room temperature which declines the risk of high pressure development associated with solution phase reaction. The resultant intermediate (2) which is saturated azlactone, was condensed with different aromatic imines (3) under mild conditions and subsequent removal of solvent under reduced pressure to get the targeted product 4-arylmethylene-2-phenyl-2-oxazolin-5-ones (4), i.e. unsaturated azlactones in appreciable yields with sufficient purity. If refluxing is continued by adding little glacial acetic acid in the same flask for further 10 minutes, the anilinolysis of the 1,5-bond of 4-arylmethylene-2-phenyl-2-oxazolin-5-ones (4), i.e. unsaturated azlactones, yielded the product N-phenyl-2-benzoylamino-3-arylpropenamides (5). It is noteworthy that the reaction is completed within maximum of 30 minutes and all the steps can be carried out in one flask.

Keywords: Schiff bases, Saturated Azlactones, Unsaturated azlactones, Z-isomer, Azlactonization, Atom Economy Route

Abstract: The automatic wiper system is used to detect rain and activate the car's automatic wipers without requiring driver interaction. This system was developed to reduce distractions while driving and allow drivers to focus on their primary task: driving. The distraction eliminated when developing this product was adjusting the windshield wipers manually when driving in peak weather. Just a few seconds of a driver not paying attention to the road surface to adjust the gear lever while driving in bad weather conditions can lead to a car accident. The system uses a combination of impedance and rain sensors to detect rain and its intensity. The system contains a controller that takes input signals from the sensors and controls the operation of the wipers based on these input signals. The purpose of this project is to help reduce accidents caused by drivers attempting to clean their windshields. When it rains, distracting the driver from the road when turning the windshield wipers on and off. On rainy days, we have to endure water splashing onto the car's front windshield. While driving a car, the driver cannot see road traffic. So he tries to operate the window wipers, because of this he has to frequently turn the wipers on and as a result this can cause a vehicle accident. If we apply any kind of sensor on the glass to detect watering activity, the wipers will automatically work through automation. When water touches the sensor, it sends a signal to the system, thereby causing the wiper motor to move. When the sensor detects there is no water, the wipers will stop. This will reduce the weaknesses mentioned in the beginning. An additional plan of this invention is to make the windshield wipers automatically rise from the windshield when the engine is stopped.

Keywords: Automatic Rain Wiper Sensor, IOT.

Abstract: This project is entitled as" AUTONOMOUS TEMPERATURE AN MASK SCAN ENTRY SYSTEM "using IOT. The System presents a sophisticated solution leveraging cameras and sensors to ensure public health compliance. Through facial recognition, the system identifies individuals entering a premise and instantly detects mask presence. Should a person not be wearing a mask, the system activates a buzzer alert. Simultaneously, a temperature sensor integrated into the system measures body temperature. If an elevated temperature is recorded, indicating a potential fever, the buzzer is triggered, signalling the need for further assessment. This system aims to autonomously monitor and enforce mask-wearing policies while also providing an initial screening for elevated body temperatures. By combining these functionalities, it creates a comprehensive entry system vital for public spaces, enhancing safety measures in the ongoing battle against contagious diseases.

Abstract: The drawbacks in the existing system are, firstly the time required for bill payment is more as the users have to wait in a long queue. Secondly, the users have to move the cart through the entire mall and carry a load of products at their home. One more drawback is regarding the barcode in which less data is stored. An inventive way to improve convenience and efficiency for consumers and retailers alike is the QR Code-Based Grocery Products Purchasing and paying System, which simplifies the grocery purchasing and paying process. This technology makes use of Quick Response (QR) codes to provide a frictionless and smooth purchasing experience. When grocery shopping, the process usually entails picking out things by hand, putting them in a cart, and then going to the checkout counter where a cashier scans each item by hand and creates a bill. This process can take some time to finish, especially during busy periods. Our system enables QR codes to be added to every grocery item in order to get over these challenges. This eliminates the need for a physical checkout by enabling customers to use their smartphones to scan and purchase goods. The data is sent to the server after the user scans and adds the item to the cart, and the bill is created once all the goods have been added. The items are delivered to the user's house, the bill is emailed to his device, and bill payment is completed online. The goal of this project is to create an alarm system that alerts managers and store owners when inventories or items are about to.

Abstract: The Automatic Accident Detector and Rescue System (AADRS) is an innovative approach designed to enhance road safety and improve emergency response efficiency. This system integrates advanced technologies such as sensors, GPS, communication networks, and artificial intelligence to promptly detect vehicle accidents and initiate timely rescue operations. The core components of the AADRS include accelerometers, gyroscopes, pressure sensors, cameras, and radar for accurate accident detection, coupled with GPS for precise location tracking. Communication is facilitated through cellular networks and Vehicle-to-Everything (V2X) technology, ensuring swift alerts to emergency services. AI algorithms and machine learning models analyze sensor data to confirm accidents and assess their severity, enabling a rapid and appropriate response. Upon detecting a collision, the system automatically transmits critical information, including the vehicle's location and the nature of the incident, to emergency responders. This immediate notification significantly reduces the time taken for rescue teams to arrive at the scene, potentially lowering the severity of injuries sustained. The AADRS offers numerous benefits, such as faster emergency response times, enhanced safety through early alerts to other vehicles, and precise location data aiding efficient rescue operations. However, challenges such as technical reliability, privacy concerns, integration with existing systems, and cost barriers need to be addressed for widespread adoption. Future developments in this field may include more advanced AI models, integration with autonomous vehicles, collaboration with smart city infrastructure, and the establishment of global standards for interoperability. The AADRS represents a substantial advancement in automotive safety, promising to save lives and mitigate the impact of road accidents through the effective use of modern technology.

Keywords: Automatic Accident Detection, Road Safety, LM35, Power cut-off, Arduino UNO, GSM module.

Abstract: The paper presents a real-time face recognition system leveraging OpenCV, a powerful open-source computer vision library. The system aims to identify and verify individuals in real-time, utilizing modern advancements in machine learning and image processing. The architecture of the proposed system encompasses three primary stages: face detection, feature extraction, and face recognition. In the face detection stage, we employ the Haar Cascade Classifier for its robustness and efficiency in identifying facial regions within the video frames. Once faces are detected, the system proceeds to the feature extraction phase, where facial landmarks and distinctive features are extracted using Local Binary Patterns Histograms (LBPH). This method ensures high accuracy and resilience to variations in lighting and facial expressions. The face recognition stage utilizes a trained machine learning model to compare the extracted features against a pre-established database of known faces. For this purpose, we employ OpenCV's LBPH Face Recognizer, which is known for its balance between performance and computational efficiency, making it suitable for real-time applications. Extensive testing of the system demonstrates its capability to accurately recognize faces in diverse environments, maintaining a high recognition rate while operating at real-time speeds. The system's flexibility allows for integration into various applications such as security systems, access control, and human-computer interaction. The real-time face recognition system, powered by OpenCV, offers a practical and efficient solution for facial identification tasks, demonstrating significant potential for deployment in a wide range of real-world applications.

Keywords: Face recognition, Open CV, Deep Learning.

Abstract: One major economic force is agriculture. A healthy biosphere depends on it. Almost every area of human life is dependent on a variety of agricultural products. The needs for more food of a higher caliber are growing, and farmers must adapt to these changes. In order to increase yield in order to help with the decision of planting the appropriate crop under certain circumstances, farmers must be informed of the climatic conditions. By continuously monitoring the field, IoT-based smart farming enhances the agricultural system as a whole. It provides an extremely clear real-time observation while monitoring a number of variables, including temperature, humidity, soil, and so forth. Machine learning in agriculture is used to improve the productivity and quality of the crops in the agriculture sector. Use of appropriate algorithms on the sensed data can help in recommendation of suitable crop.

Keywords: Include at least 4 keywords or phrases.

Abstract: This project is entitled as "MEDICINE REMAINDER THROUGH VOICE GUIDE" is a IOT based application. The project introduces an innovative solution to enhance medication adherence and patient care. This system incorporates key components such as a voice recorder, microcontroller, and IoT connectivity to facilitate effective medication management. The core concept involves the voice recorder delivering timely medication reminders, categorized into morning, afternoon, and evening sessions, ensuring patients stay on track with their prescribed regimen. The system employs two buttons for patient interaction: Button 1 serves as confirmation that the medication was taken, preventing the need for an IoT alert, while Button 2 enables patients to schedule their medication times as per their physician's instructions. Crucially, if a patient fails to press Button 1 within a specified timeframe after the voice reminder, the system automatically generates an IoT alert. This alert is transmitted to a designated user, alerting them to the patient's non-compliance. This proactive approach aims to reduce the risk of missed doses and improve patient well-being, making it a valuable tool in modern healthcare management.

Keywords: Node MCU, Button, Voice Recorder, Speaker.

Abstract: The library plays an awfully vital part in improving an individual's information. Libraries acts as a catalyst in actuating the imagination of individuals. It may be a put where collections of books, CDs, Diaries, periodicals, etc are put away and kept up. The library must be kept up proficiently so that the clients of the library can get to the books effectively without investing so much time in looking the books and besides it is basic to have a legitimate record of exchanges that takes put in a library. In arrange to overcome this issue, papers related to Library administration Framework utilizing RFID such as A Ponder on Shrewd Library Administration Framework, Keen Library Administration Framework utilizing RFID Innovation, IoT for Library Administration Framework has been taken into thought and a modern RFID based Library Administration Framework is proposed. The proposed RFID based Library administration framework makes a difference to productively oversee the operations that takes place in a library. The proposed paper points to mechanize the method of library administration through an developing innovation Radio Recurrence Recognizable proof. The RFID could be a contactless distinguishing proof framework and a shape of AIDC (Programmed Recognizable proof and Information Capture) so we are able fair filter the tag employing a scanner to examined the information stored in it and able to continue with encourage forms . In this system books, CDs, Diaries of the Library is mapped with the one of a kind RFID number and is put away in a database beside other subtle elements of the book. The books must be glued with the RFID labels and a scanner must be set for perusing these labels.

Abstract: Disasters, whether natural or man-made, have devastating effects on human lives, infrastructure, and the environment. Early prediction and effective prevention are paramount to mitigating their impact. This paper presents a novel approach to disaster prediction and prevention leveraging the Internet of Things (IoT) technology. The proposed system integrates various IoT sensors, including weather sensors, seismic sensors, and surrounding sensors, to collect real-time data from the disaster-prone areas. Machine learning algorithms are employed to analyze this data and predict potential disasters such as earthquakes, floods, hurricanes, and forest fires with high accuracy. Furthermore, the system utilizes actuators and automated control mechanisms to implement preventive measures in response to the predicted disasters. These preventive measures may include early warning alerts to the authorities and the affected population, activation of evacuation protocols, deployment of emergency resources, and adaptive infrastructure management. The effectiveness of the proposed system is validated through simulation studies and real-world deployment in disaster-prone regions. The results demonstrate significant improvements in disaster prediction accuracy and timely preventive actions, leading to reduced loss of life and property during disasters. The Disaster Prediction and Prevention System using IoT offers a comprehensive and proactive approach to disaster management, empowering communities and authorities to better prepare for and mitigate the impact of natural and man-made disasters. This project uses an MQ135 gas sensor, LM35 fire sensor LCD display, buzzer, GSM module and Arduino which is used as the brain of this project. A relay is used to cut off of the power supply in the leakage environment. The gas sensor of type MQ135 is used to detect the atmosphere gas which is an extra component, and noticed by the Arduino and an alerting message is send through the GSM to user.

Keywords: Internet of things, MQ135, LM35, Power cut-off, Arduino UNO, GSM module.

Abstract: This IOT-based application is called "IOT-BASED AUTOMATIC EXHAUST FAN FOR COOKING SMOKE." The advent of the Internet of Things (IoT) has made it possible for creative solutions to typical issues to be solved. This project presents an Internet of Things (IoT)-based Automatic Exhaust Fan system intended especially to reduce cooking smoke in home environments. The exhaust fan will automatically turn on when the system's clever sensors detect the presence of smoke in the kitchen. The system improves smoke extraction efficiency by providing real-time monitoring and responsiveness through the use of an integrated network of devices. By decreasing exposure to contaminants associated with cooking, the smooth integration of IoT technology not only promotes a better living environment but also fits with the larger trend of developing smart.

Keywords: IoT-based application, Automatic exhaust fan, Cooking smoke reduction, Smart kitchen solutions

Abstract: The purchase of furniture objects without visiting the shops was conceivable, however it was unrealistic to check how the item really examines home construction. Presently, In our proposed framework, it is workable for users to purchase the furniture objects sitting in the home without visiting the shops. The fundamental reason for the "Furniture try on app using Augmented Reality" is to advance an android application for attempting different furniture in a virtual way utilizing a portable which upholds AR cameras. The application will dispense with the human Endeavors by truly visiting the furniture store which is an extremely tedious movement. Plus, it may be simpler to involve this method in Online shopping as a possibility for clients to give a shot the furniture things in their room they are remembering to purchase and permit the user to imagine the room how it will care for setting furniture in it. This framework will assist the client with survey the furniture object for all intents and purposes in genuine climate prior to purchasing the item. Because of this framework the user will come to know how his home design would take care of purchasing the furniture object. This framework would let the user attempt various mixes of articles practically without actual development of furniture objects. These will help the purchaser to decide how to arrange furniture in home construction.

Keywords: Augmented Reality, Online Shopping and Furniture Objects.

Abstract: This project is entitled as "AN INTELLIGENT PRISON ESCAPE DETECTION SYSTEM USING IOT AND RF TECHNOLOGY" and is an IOT-based application. The fact that such a number of inmates may still be roaming among us is itself scary. Well, so here we propose a prisoner tracking system that helps detect prison breaks and instantly alert authorities using IOT. The system makes use of a microcontroller-based circuit to achieve the task using RF technology. We make use of RF trackers on each inmate to detect their presence on the premises. The second central monitoring units are used to scan through all inmates as per data fed to it and constantly keep track of each prisoner. Each prisoner is mounted with an RF tracker transmitting a unique prisoner code wirelessly. Whenever a prisoner exits the facility, the centralized system is unable to receive his/her code. At that time the receiver circuitry instructs the controller to take action against the particular prisoner. The System now transmits the prisoner's details over to the officers alerting portal to send out an instant alert and catch the prisoner before he runs even 50 meters away from the facility. Here we use IOT Gecko to develop the online alerting portal system to receive input from monitoring devices and display alerts and sound alarms through the internet.

Keywords: RF Technology, Alerting system and IOT.

Abstract: Digital payment is defined as transactions in which authorizes the transfer of money through electronic means, and the funds flow directly from one account to another. Rural India has significant impact on the economic progress of the country, and with the emerging changes of ICT penetration, and the impact of demonetisation, alongside the digital initiatives carried out for rural segments, the need for improving the trends of digital payments model in rural India is very important. Transferring of money to one another, making shopping a convenient option and rather than carrying cash all the time, people can opt for making use of their credit and debit cards and mobile wallets for easy payments. The present study is an attempt of the light on the Awareness and Perception about digital payment with special reference to Malappattam Panchayat in Kannur district. The study revealed that most of the people are aware about the digital payments. The study suggested that Government should promote rural households to report their complaints to the digital transactions in order to improve confidence in online transactions and an awareness programme should be implemented in regional language also by considering illiterate people.

Keywords: Digital Payment. Awareness, Mobile wallet, Rural People

Abstract: This abstract examines how important it is for technical innovation to improve agricultural practices and handle water scarcity issues, especially in the area of irrigation systems.. The integration of Internet of Things and sensor systems has emerged as a promising solution to optimize water management and improve operational efficiency in agriculture. However, successful implementation of SMART IRRIGATION SYSTEMS requires careful consideration of research and development (R&D) efforts to identify inefficiencies, focus about administration and security issues, and enhance security measures to safeguard system integrity. By adhering to these recommendations, organizations can leverage smart irrigation systems to mitigate water stress, improve crop yields, and foster sustainable agricultural practices in the face of evolving environmental challenges.

Abstract: This project is entitled as "IOT BASED SMART ANTI-THEFT SECURITY SYSTEM" is a IOT based application. The IoT-based Anti-Theft System proposed here integrates NodeMCU, Ultrasonic sensor, and ESP32 Cam to create a robust security solution. The core concept involves detecting unauthorized individuals through the Ultrasonic sensor, capturing their faces using the ESP32 Cam, and subsequently storing the images on an SD card. Additionally, the system is designed to automatically send the captured images to the owner via email. This project aims to enhance security measures by leveraging IoT technologies. The NodeMCU facilitates connectivity and data exchange, while the Ultrasonic sensor serves as an effective means for person detection. The ESP32 Cam, equipped with facial recognition capabilities, ensures accurate identification and capture of potential intruders. Storing the images on an SD card provides a local backup, ensuring that evidence of unauthorized access is preserved. Simultaneously, the email feature enables real-time notification for the owner, allowing prompt action in response to security threats. In summary, the IoT-based Anti-Theft System combines hardware components and connectivity to create an intelligent security solution capable of detecting and capturing potential thieves, providing a valuable layer of protection for property owners.

Keywords: NodeMCU, SD card, ESP32 Cam, IoT-based Anti-Theft System

Abstract: This project proposes an expense tracker application designed to empower users to manage their finances effectively, Track daily expenses and create budgets, Automate saving for pre-defined goals, facilitating future investments. A key feature is the integration of Optical Character Recognition (OCR) technology. By automatically extracting data from scanned financial statements, the application streamlines the data entry process, saving users valuable time. The abstract highlights the limitations of manual data extraction, which can be time-consuming and prone to errors. OCR technology addresses these issues, offering faster and more accurate data capture. The application aims to help users overcome wasteful spending habits by promoting financial awareness and facilitating informed budgeting decisions.

Keywords: Personal finance, Budgeting, Money management, Savings tracker, Financial planning.

Abstract: People's use of social networks is growing, but because of the centralized data management system They've got to deal with the issue of privacy leaks. This privacy issue is resolved by dispersed social network catered emergency services, but they introduce efficiencies in the provision of primary functionality such data availability and access control. According to this perspective, social networks and decentralized social networks face the aforementioned difficulties. To build a new decentralized social network architecture combining the advantages of decentralised networks and classic centralized social networks, we take advantage of the newly popular blockchain technology. We provide central control services using the blockchain, which functions as a trusted server. To ensure that users have total control over their data, we divide the storage services in the interim. Blockchain-based social network of user's identity management systems offer improved efficiency, and enhanced user experiences.

Keywords: Blockchain, decentralized system, privacy, security.

Abstract: The creation of an automated pet feeder is the subject of this report. Tensor Flow Lite Convolutional Neural Networks, a specialized software, is used in conjunction with a laptop, an Arduino, and a camera to identify the animal. The meal is dispensed with assistance from a motor. By taking care of the meals for the pets, the intention is to make life easier for pet owners. The device is intelligent enough to provide the appropriate amount of food for each pet based on their individual needs. Additionally, it can identify when a pet appears ill during feeding and notify the owner. In other words, it's like giving your pet a personal chef with an integrated health checker.

Keywords: Automated pet feeder, Tensor flow, Neural networks, Arduino, Motor.

Abstract: Goods and Services Tax (GST) was introduced in India on July 1, 2017, with the promise of simplifying the complex indirect tax system and fostering economic growth. Since its inception, the Indian government has made several amendments to the GST framework, aiming to address challenges, improve compliance, and create a more efficient taxation system. This comprehensive study delves into these GST amendments and assesses their impact on India's economy, businesses, and tax administration. The study begins by providing a brief overview of the GST system in India, highlighting its significance in unifying the country's tax structure and facilitating a seamless flow of goods and services across state borders. It then explores the key amendments made to the GST framework, including changes in tax rates, procedural simplifications, and the introduction of new concepts like e-invoicing and the e-way bill system. Special attention is given to the major reform - the shift from the multi-tiered tax structure to a simpler two-tiered structure, with the implementation of the GST Compensation Cess. The impact of these amendments on various sectors of the Indian economy is rigorously analyzed. The study assesses how changes in tax rates have affected consumer behaviour, inflation, and demand for goods and services. It also investigates the compliance burden on businesses, both large corporations and small and medium-sized enterprises (SMEs), and evaluates the ease of doing business in the post-amendment GST era. Furthermore, the study examines the role of technology in streamlining GST compliance, with a focus on the success and challenges of e-invoicing and the e-way bill system. The study also scrutinizes the fiscal implications of these amendments, with a focus on revenue collections, the compensation mechanism for states, and the overall impact on the government's finances. Additionally, it investigates the extent to which GST amendments have contributed to reducing tax evasion and enhancing transparency in the tax system.

Keywords: GST, Goods and Services Tax, Taxation in India, Tax Reform, GST Amendments, Economic

Abstract: An unnatural increase of cells in the liver, an essential organ of the body, is called liver cancer, a dan-gerous disorder. A successful course of treatment for this cancer depends on early detection. Nonetheless, be-cause symptoms could not appear until later on, it's frequently difficult to identify it early. A computerized pro-ject was created to help detect liver cancer early in order to address this issue. It does this by initially using CT scans to capture pictures of the liver. Then image is resized into required form and a noise in the image is re-duced using some technic. Next, in order to extract significant features from the photos, the project employs Feature Extraction and extract some features such as color texture edges smoothness area and size. See it as simi-lar to picking.

Keywords: Convolutional Neural Network, CT-Scan, Convolutional layer, Pooling Layer, ReLu Layer, Fully Connected Layer, SoftMax Function.

Abstract: In order to anticipate and classify bioassay data labeled AID362, this study investigates the use of sophisticated machine learning techniques, including neural networks and extra trees. The usefulness and suitability of these algorithms for bioassay categorization and regression are examined by means of meticulous testing and analysis. The UCI repository dataset is prepared by applying several data preprocessing techniques such as cleaning, normalization, and feature scaling. Overfitting is reduced and dimensionality is made easier with the help of Extra Trees feature extraction. The effectiveness of the trained models in managing high-dimensional, nonlinear bioassay data is demonstrated by a variety of performance indicators. The findings add significant knowledge to the field by demonstrating the effectiveness of neural networks in identifying complex patterns and the advantages of extra trees in managing complicated datasets.

Keywords: Bioassay, AID362, Classification, Regression.

Abstract: The worldwide reach and density of information have also raised the risk of integrity and confidentiality. Security lapses are become far too common. Thus, the enhancement of network security is emphasized these days. Network protection lets in unintentional interference of some kind and helps to prevent it. It is made up of network intrusion detection software that follows the network. To trace traffic within the network from source to destination apps, NIDS is strategically placed within the network. The device would efficiently filter all incoming and outgoing traffic, but this would lead to congestion, which would slow down the system's speed as a whole. Lastly, these techniques incorporate machine learning algorithms that provide dependable performance and flexibility for the gadget. Machine learning techniques can be used to identify patterns in the auditing data that indicate the difference between malicious and normal activity. This is because intrusion activities leave evidence behind.

Keywords: Intrusion Detection, Machine learning, Deep learning, HTML, Phishing Technique.

Abstract: Farmer productivity can be increased with the use of the intelligent instrument known as the Integrated Agricultural Intelligence System (IAIS). To provide customized guidance for various crops, it leverages cutting-edge technology and data analysis. To determine crop health and offer recommendations, IAIS monitors temperature and soil nutrients (NPK levels). In order to assist farmers in understanding the effects ofweather on their crops and modifying their operationsaccordingly, it also makes use of rainfall data. IAIS correctly detects crops using sophisticated algorithms and recommends tactics according to their requirements. Italso assesses the different kinds of fertilizers and suggeststhe best application based on temperature and NPK levels.In order to help farmers use resources more effectively, increase yields, and practice sustainable farming all of which contribute to food security IAIS uses machinelearning to provide timely insights.

Keywords: Integrated Agricultural Intelligence System (IAIS), NPK levels, Soil nutrients, Fertilizers, Sustainable farming, Sophisticated Algorithms.

Abstract: The objective of the present investigation was to develop a method for a fast and facile synthesis of 4-(Heteroaryl)methylene-2-phenyl-2-oxazolin-5-ones (4) and their corresponding dehydroamino acids (5), their ethyl and methyl esters (6, 7) and anilides (8) by solvolysis and aminolysis through 1,5-bond cleavage of 2-oxazolin- 5-ones (4) which are used as synthons. An alternative modification for the fast and convenient synthesis of 4-(Heteroaryl)methylene-2-phenyl-2-oxazolin - 5-ones (4) where heteroaryl groups are furan (4a), pyrrole (4b) and thiophene (4c) moieties, is developed. They are the unsaturated azlactones. The conversion of α-N-benzoylglycine or hippuric acid (1) to unstable 2-phenyl-2- oxazolin-5-one (2) was carried out by using cyclising agents namely either Benzene sulphonyl chloride or p-Toluene sulphonyl chloride or Ethyl chloroformate in dry benzene in the presence of triethylamine as base at room temperature, which declined the risk of high temperature as well. After condensation of 2-Formyl heteroarenes namely 2-Formylfuran (3a), 2-Formylpyrrole (3b) and 2-Formylthiophene (3c) with 2-phenyl-2- oxazolin-5-one (2), the solvent was removed under reduced pressure. The removed solvent can be reused. These unsaturated azlactones i.e. 4-(Heteroaryl)methylene-2-phenyl-2-oxazolin-5-ones (4) can be isolated by trituration with chilled ethanol and can also be recrystallised with ethanol. Otherwise, the resultant unsaturated azlactones 4a, 4b and 4c respectively were subjected to hydrolysis, ethanolysis, methanolysis (where ethanolysis and methanolysis are commonly called alcoholysis) and aminolysis directly in the same flask to obtain 2-Benzoyl amino-3-heteroarylprop-2-enoic acids (i.e. dehydroamino acids) (5), their esters namely Ethyl/ Methyl-2-Benzoylamino-3-heteroarylprop-2-enoates (6, 7) and anilides namely N-Phenyl-2-Benzoylamino-3-heteroarylprop-2-enamides (8) respectively using the view of Green Chemistry methodology.

Keywords: 4-(Heteroaryl)methylene-2-phenyl-2-oxazolin-5-ones, Unsaturated azlactones, Synthons, Solvolysis, Anilinolysis, Green Chemistry.

Abstract: Because of their unmatched capacity to adapt to challenging environments and dynamic performance, quadruple robots have become essential components in the fields of automation and robotic engineering. In the primary technical areas of quadruped robots, this paper provides a thorough summary of recent advances in research, with an emphasis on structural design, locomotion planning, and sensory integration. The suggested quadruped robot has parallel legs with two degrees of freedom and a lightweight, modular architecture that is optimised for improved weight reduction and transmission accuracy. The robot's driving end is arranged horizontally, which improves its efficiency and stability. The rotation angles of each actuator are exactly established by means of a rigorous study using inverse kinematics methods, hence enabling smooth and precise motion.

Keywords: Robots with quadruples, Design structural, planning for locomotive motion, integration of senses, Reversing kinematics

Abstract: An electronic voting system using blockchain security offers a robust and innovative solution to many of the challenges associated with traditional and centralized e-voting systems. Blockchain technology provides a decentralized and tamper-resistant framework, ensuring that once votes are cast, they are securely recorded and cannot be altered or deleted. This immutability enhances the integrity of the election process, making it highly resistant to fraud and manipulation. Furthermore, the transparency of blockchain allows for each vote to be independently verified by multiple nodes in the network, increasing trust and confidence among voters. Blockchain's cryptographic techniques ensure voter anonymity, protecting personal data while maintaining the ability to audit and verify the results transparently. This combination of security, transparency, and privacy makes blockchain-based electronic voting systems a compelling choice for modernizing electoral processes.

Keywords: Blockchain, Ethereum, Dapps, RSA.

Abstract: This study was conducted at Capiz State University, Roxas City-Main Campus (September, 2022 - May 2023). It aimed to develop a Speed Cushions Electric Generator. Specifically, it aimed to develop a speed cushion that will generate electricity when stepped by a vehicle. The first objective was to determine the output voltage of the device in relation to the RPM. According to the data gathered, the mean RPM and Generated Voltage for table 2 are 830 and 2.56V. The result implies that, as the RPM of the rotor increases, the generated voltage also increases. The second objective is the calculation of the transformer's efficiency and was based on table 3. The RPM and voltage for input are 668 and 0.75V in trial 1, while the mean RPM and voltage for output are 667 and 9.62V in trial 2. These are the given data used solve for the transformer's efficiency, since the RPM of input and output is close. The mean RPM and Generated Voltage for table 2 are 830 and 2.56V. The result implies that, as the RPM of the rotor increases, the generated voltage also increases. The third objective to determine the output DC voltage from the rectifier. The mean RPM and voltage for DC are 750.33 and 27.46V. In a star or wye connection, the line voltages are added if connected to a circuit. Therefore, the line voltages in the rectification stage are added that leads to high DC voltage generated. These results imply that the voltages generated can be used for lighting and charging of batteries.

Keywords: Road cushions, Slowdown ramp, energy harvesting, generator

Abstract: In present scenario, people are wrapped up in a heavy work culture, as everyone is engaged with hectic tasks, and busy schedules which make them deviate from family life. If any issues encounter unexpectedly, it distracts them and makes them choose over the work they have to accomplish primarily. In such circumstances, every one of us have thought that a life would be much better if no point of issue arises in getting a service at your door step and if there is no mess in bargaining a labor for home service. In such situation, E-Commerce plays a vital role. People find it more convenient to book services online from the comfort of their homes than going out to find someone to do the same. So, giving a thought to that aspect of life we have designed and developed a web-based application for home services that provides many services at your doorstep in just one click by connecting service providers directly with the customers and cater to their home-service demands at their doorsteps. It's a platform that provides variety of service person like plumbers, movers and packers, repair persons, cleaners, electricians, painters, carpenters and many more. It is versatile as services can be booked from everywhere to anywhere you desire.

Abstract: Rock Paper Scissors is a popular hand game played between two or more players. In this game, each player simultaneously throws one of three hand signals: Rock, Paper, or Scissors. The winning hand beats the losing hand as follows: Rock smashes Scissors, Paper covers Rock, and Scissors cut Paper.Using a computer, we can create a Rock Paper Scissors game that allows a user to play against the computer. The computer can generate a random choice (Rock, Paper, or Scissors) and the user can input their choice. The game can then determine the winner based on the game's rules.

Keywords: Hand Game, Rock, Paper, Scissors, Simultaneous Choice, Winning Hand, Computer-based Game, User Input, Rock smashes Scissors, Paper covers Rock, Scissors cut Paper.

Abstract: The purpose of the study was to find out the differences of physiological Characteristics with respect to Resting Heart Rate and Respiratory rate of elite level Cricket and Football players In all , 300 Cricket and 300 Football players from Maharashtra participated in the study and their age ranged between 18-28 years who were regular participation in cricket and football tournaments . Heart rate was recorded by the palpation at redial artery per minute. The score was express in number of heart rate per minute. Respiratory rate the subject was instructed to remain lying on their bed in supine lying position. The tester then record rate of respiration in units per minute by carefully watching the movements of the subjects abdominal. Total number of respiratory movement per minute finally recorded. Findings reveals that there was sig.(significant) difference was found in RHR ( t=p

Abstract: Sorting algorithms are fundamental to computer science which is learnt in data structures of various programming language, facilitating the efficient organization of data. Understanding their intricacies and performance characteristics is crucial for students, educators, and developers. In this project, we present a Sorting Algorithm Visualizer, a web-based tool designed to provide an interactive platform for exploring various sorting algorithms. The visualizer offers implementations of six popular sorting algorithms: Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, and Heap Sort. Through a user-friendly interface developed using HTML, CSS, and JavaScript, users can select algorithms, adjust parameters such as array size and sorting speed, and visualize the sorting process in real-time. The visualizer dynamically updates the display as algorithms execute, providing step-by-step animations that helps in understanding the operations. In addition to this, the system calculates and displays the space and time complexities of each algorithm, empowering users to make informed comparisons. With this architecture on clarity and interactivity, the Sorting Algorithm Visualizer serves as an educational resource for learners of all levels. By understanding the sorting algorithms, this project aims to inspire curiosity and facilitate learning in the field of computer science.

Keywords: Sorting algorithm, data structures, visualisation, sorting visualizer, processing.

Abstract: In today's era, the Internet is of great use to people of all generations. It is indeed a miraculous invention that has facilitated our daily chores. With the growth of the internet and wireless communication, the structure and nature of banking and financial services have gone for a sea change. In the series of technological wonders in the recent past e-banking is the latest which involves the use of the Internet for the delivery of banking products and services. In accessing true Internet banking, any enquiry or transaction is processed to the branch at any time. Thus, providing e-banking has gradually become a "NEED TO HAVE" rather than a "NICE TO HAVE" service. Though a large volume of literature is provided on e-banking still it provides a large number of opportunities for further research. This paper provides details about the comparative study of private and public sector banks that provide e-services to their customers and how it helps to make India digital and skilful. The bankers and society at large will come to know where the banks lack in terms of the adoption of Internet banking and in providing different products and services. The data of this study are based on a survey of banks' websites explored during last year. The sample consists of 2public sector and 2 private-sector banks operating in India. Moreover, this paper contributes to the empirical literature on e-services particularly Internet banking in the developing country i.e. India.

Abstract: Hammering is the most widely used industrial as well as construction activity. Hammering or screws, metal sheets, parts etc requires a lot of time and effort. So here we propose an automated hammering system that allows for fully automatic hammering process. This allows for accurate, fast and automated hammering wherever and whenever needed using a 12V battery. The person just needs to insert workpiece and start the hammering machine. This machine can be used for automatic hammering work as and when needed. We here use a dc motor in order to move the hammer. The DC motor consists of a pulley attached to it which is connected to a larger pulley for efficient power transfer and to increase torque. This large pulley is connected to a shaft that has a connecting rod attached to it. This rod is used to achieve lateral motion from the spinning shaft. We now connect the other end of hammer to this connecting rod through a mid-swinging arrangement in order to achieve desired hammer motion with enough torque. We now use a suitable bed where workpiece can be placed. In the present scenario due to the technologies advancement there are lots of demands of the products in the market for production of many components. This invention is relates to fabricate a simple power hammer machine having low cost, compact, easy to operate, and having less power requirement for a forging operation performed by blacksmiths. More particularly this invention is relates use of power hammer by small scale industries or workshops having less force requirement in forging than the other hammer machines available in the market to produce or manufacture a small parts like knives, medical equipment's, sockets, hooks, clips, dental equipment's, rings, manifolds, couplings, etc.

Keywords: Motor, Hammer

Abstract: In this study, we propose an optimized approach for electrocardiogram (ECG) classification, leveraging wavelet decomposition and convolutional neural networks (CNNs). Through wavelet decomposition, we extract informative features from ECG signals, which are then fed into a CNN model for accurate classification. Our results demonstrate improved performance in ECG classification, showcasing the efficacy of our optimized methodology. We utilized a comprehensive dataset to benchmark our approach against traditional methods, achieving superior accuracy, sensitivity, and specificity. This paper also discusses the potential clinical implications of our method, emphasizing its robustness in handling noisy and complex ECG signals. The proposed method holds promise for real-time medical diagnostics and automated healthcare solutions.

Keywords: ECG classification, wavelet decomposition, convolutional neural network, signal processing, deep learning.

Abstract: This study examines the influence of ceramic coatings on aluminum alloy that has been reinforced with boron carbide and tungsten carbide, using the plasma spray technique. The samples were produced by sand casting, with 100% aluminum 7475 alloy used for certain samples, and metal matrix composites consisting of 94% aluminum 7475, 3% boron carbide, and 3% tungsten carbide used for others. Following that, zirconia coatings were administered utilizing the plasma spray technique. The study evaluated the Brinell hardness, corrosion behavior by salt spray testing, wear resistance using a pin-on device, and microstructural parameters of the three sample combinations. The results demonstrate that the zirconia-coated samples had increased hardness and greater resistance to corrosion in comparison to the untreated samples. The microstructural study showed a consistently small-grained structure in the samples with a metal matrix coated with zirconia. This indicates that the samples had superior heat barrier capabilities. The compact grain structure resulted in enhanced hardness and consequent resistance to wear in the coated specimens. This study highlights the effectiveness of ceramic coatings, specifically zirconia, in improving the mechanical and corrosion properties of aluminum alloys that are strengthened with boron carbide and tungsten carbide. Therefore, these coatings have considerable potential for various industrial applications.

Keywords: Ceramic coatings, Aluminum alloy, Boron carbide, Tungsten carbide, Plasma spray technique, Corrosion resistance, Microstructure, Zirconia, Wear resistance

Abstract: Cryptocurrencies are a digital way of money in which all transactions are held electronically. It is a soft currency which doesn't exist in the form of hard notes physically. Here, we are emphasizing the difference of fiat currency which is decentralized that without any third-party intervention all virtual currency users can get the services. However, getting services of these cryptocurrencies impacts on international relations and trade, due to its high price volatility. There are several virtual currencies such as bitcoin, ripple, ethereum, ethereum classic, lite coin, etc. In our study, we especially focused on a popular cryptocurrency, i.e., bitcoin. From many types of virtual currencies, bitcoin has a great acceptance by different bodies such as investors, researchers, traders, and policy-makers. To the best of our knowledge, our target is to implement the efficient deep learning-based prediction models specifically long short-term memory (LSTM) and gated recurrent unit (GRU) to handle the price volatility of bitcoin and to obtain high accuracy. Our study involves comparing these two time series deep learning techniques and proved the efficacy in forecasting the price of bitcoin.

Keywords: Bitcoin , LSTM , Ethereum,GRU .

Abstract: The proposed loan application processing. system for rural areas is specifically designed to address the unique challenges faced by agricultural communities when seeking financial assistance. This system aims to overcome the obstacles inherent to rural settings, ensuring a seamless and effective process for securing crucial financial support.Tailored to the specific needs of rural users, the system commences with farmers initiating the application process through a user-friendly interface designed explicitly for their use. A paramount focus is placed on robust data storage and management, ensuring the secure preservation of loan application forms. Employing advanced missing data imputation techniques enhances the integrity of the datasets. The website design emphasizes user interfaces that are both intuitive and accessible, accommodating varying levels of technological literacy prevalent in rural settings. The assessment of loan eligibility is facilitated by the integration of a machine learning model, carefully considering factors pertinent to agricultural finance. This model is seamlessly deployed locally and integrated via APIs, ensuring adaptability to both local systems and external services. The workflow concludes with a transparent and streamlined loan approval or rejection process, accompanied by insightful financial recommendations for approved applicants. This holistic approach, merging technology, effective data management, and machine learning customized for rural contexts, aspires to diminish the financial inclusion gap in rural areas. Ultimately, the system endeavors to empower farmers, enabling them to secure essential financial resources for sustainable agricultural practices.

Keywords: Machine Learning, Loan, Data, Validation, Document

Abstract: The project titled "Fabrication of Heat Storage Unit Using PCM" aims to explore the feasibility and effectiveness of utilizing Phase Change Materials (PCM) for thermal energy storage. Thermal energy storage plays a crucial role in various applications, including solar energy systems, building heating and cooling, and industrial processes. This report presents the fabrication process of a heat storage unit utilizing PCM and evaluates its thermal performance. The project involved the selection of suitable PCM, fabrication of the heat storage unit, and experimental testing to measure its heat storage capacity and thermal performance. Results indicate that the fabricated heat storage unit effectively stores and releases thermal energy, demonstrating its potential for practical applications in energy-efficient systems. The findings contribute to the advancement of thermal energy storage technology and provide insights for future research and development in this field. The use of a latent heat storage system using phase change materials is an effective way of storing thermal energy. In this project a PCM based tube in shell heat exchanger is designed and fabricated. The project focuses on the temperature distribution pattern of the phase change material during the process of charging and discharging the results are obtained by experimentally. Paraffin wax has been used as the phase change material. This type of thermal energy storage system can be used as a medium to store energy and can be used further.

Keywords: Phase Change Material (PCM), Heat Storage, HTF, Paraffin Wax.

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page DETECTION OF ALZHEIMER'S DISEASE USING CNN Jeevitha H, Kavya R, Sushma K Sattigeri

Abstract: Treatment is complicated by the laborious and prone to error nature of modern MRI analysis for brain tumour detection. Using several MRI datasets, we suggest a technique that combines deep learning, conventional classifiers, and CNNs. Algorithms for activation and SVM validation are used. Our CNN surpassed prior records with an accuracy of 99.74% when it was implemented in Python using TensorFlow and Keras. With this automated method, brain tumour diagnosis should be greatly improved, allowing patients' treatment choices to be made more quickly.

Keywords: Alzheimer's, CNN, Keras, TensorFlow, Max Pooling, Batch Normalization. Downloads: | DOI: 10.17148/IARJSET.2024.11642 How to Cite: [1] Jeevitha H, Kavya R, Sushma K Sattigeri, "DETECTION OF ALZHEIMER'S DISEASE USING CNN," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.11642 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: This study presents a feature-based approach for predicting and optimizing stock levels in a retail chain. Utilizing an extensive database of algorithms, interpretable features are extracted from historical stock level time series data. The method, which includes correlation structure, distribution, entropy, stationarity, and scaling properties, reduces dimensionality significantly. Through a forward feature selection process and a linear classifier, the approach autonomously learns distinctions between stock level classes, outperforming conventional classifiers. The selected features not only enhance classification accuracy but also provide crucial insights for optimizing inventory management in diverse retail locations. This research contributes a scalable and interpretable solution to the dynamic challenges of stock prediction in a retail setting.

Keywords: Time Series Analysis, Forecasting, Machine Learning, Big mart sales.

Abstract: Artificial Intelligence has far-reaching ethical and societal ramifications that touch many aspects of society. The power of AI to make decisions on its own raises ethical concerns that could affect justice and accountability. As AI systems gather and examine enormous volumes of personal data, privacy concerns surface. These concerns center on issues related to data security, monitoring, and consent. Furthermore, biases present in training data may be reinforced by AI algorithms, producing unfair results in the hiring, lending, and law enforcement sectors. AI poses a social danger to job displacement as automation supplants human labor in various areas, hence requiring economic restructuring and retraining. The gap between those who profit from technology developments and those left behind gets wider as a result of the unequal distribution of AI benefits, which exacerbates already-existing socioeconomic imbalances. Furthermore, the transparency required is hampered by the opaqueness of AI decision-making processes. The gap between those who profit from technology developments and those left behind gets wider as a result of the unequal distribution of AI benefits, which exacerbates already-existing socioeconomic imbalances. Furthermore, the lack of transparency in AI decision-making processes undermines confidence in vital applications like criminal justice and healthcare. This will guarantee that AI is developed and used ethically, enhancing social well-being without compromising core values and rights. Promoting the ethical use of AI while minimizing its negative societal effects requires public dialogue and interdisciplinary cooperation.

Keywords: Artificial intelligence, Ethics, Technological Innovation, Dilemmas , algorithmic , Internet of Things, social implications, Machines, Computational Linguistics, Robots.

Abstract: This study digs into the complex environment of financial inclusion in India, attempting to understand the current situation and foresee future issues. The study's aims include an in-depth discussion of the idea of financial inclusion, an analysis of the current level of financial inclusiveness in India, an exploration of the potential for its development, and the creation of suggestions to move financial inclusion forward. The study begins by analyzing the core concept of financial inclusion, emphasizing its importance to all persons in a fast changing economic environment. A critical examination of the current situation takes place, examining the efficiency of government measures like the Jan Dhan Yojana in boosting savings accounts, particularly in rural areas. The study examines digital literacy, awareness, and last-mile delivery. The study looks ahead, anticipating obstacles that could stand in the way of development. It emphasizes how important it is to work together to improve last-mile delivery, raise awareness, and address digital literacy, particularly in rural areas. The study acknowledges the critical role that technology plays in promoting financial inclusion and suggests strategies to get over obstacles, with a focus on data integration, privacy issues, and the delivery of customized services. The study concludes by highlighting the progress that has been done over the last six years, recognizing the beneficial effects of government programs, and stressing the need for future efforts. The study imagines a time when everyone has access to financial services, even in the face of current obstacles. It is the goal of the research to assist stakeholders, financial institutions, and governments in promoting

Keywords: Fintech Services, Banking Services, Insurance, digital Payments, and Financial Inclusion

Abstract: In modern times, security and protection have become paramount concerns. This research paper introduces an innovative approach to fortify security in premises through a sophisticated smart surveillance system. Supported by a Django backend and empowered by various trained models, the system enables real-time monitoring of entries and exits, automated counting, and anomaly detection. It aims to revolutionize security and safety across diverse environments by automating tracking of individuals and objects, monitoring for suspicious activities, and early detection of fire hazards. The paper discusses the current state of technology in smart surveillance systems, covering advancements, challenges, and demerits. It outlines the objectives, motivation, and challenges of the project, emphasizing the importance of algorithm selection and fine-tuning, real-time processing, accuracy and reliability, adaptability to environmental changes, and addressing privacy concerns. The abstract underscores the project's commitment to delivering a comprehensive solution that leverages technology to enhance accuracy, efficiency, and security in premises.

Keywords: Computer Vision, Image Processing, YOLOv3-Tiny, Real-time object detection, Convolutional Neural Networks (CNNs), Non-Maximum Suppression (NMS), Structural Similarity Index (SSIM), Haar Cascade Classifier, classifier, Anomaly Detection, Object Recognition, Emergency Response, Fire Detection, Object Monitoring, Surveillance Technology.

Abstract: This study examines the impact of humor in advertising on consumer purchase decisions, focusing specifically on Guwahati City. Humor is a popular advertising strategy aimed at capturing attention and enhancing brand recall. Through surveys and data analysis, the research explores how humorous advertisements influence consumer attitudes, emotional responses, and subsequent purchasing behavior in Guwahati. The findings reveal that humor in advertising significantly enhances consumer engagement and brand perception, ultimately leading to increased purchase intentions. However, the effectiveness of humor can vary based on cultural context and individual preferences. This study underscores the importance of tailored advertising strategies that align with local consumer sensibilities to maximize effectiveness.

Keywords: humor, advertising, consumer purchase decision, Guwahati City, brand perception

Abstract: This conceptual paper explores how Artificial Intelligence (AI) is transforming the landscape of smart homes. This paper delves into the multifaceted role of AI in smart homes. Drawing on various findings with the role of AI, this paper examines security concerns with virtual assistants and vulnerabilities in smart aging systems. It also introduces the concept of Ambient Intelligence (AmI) and proposes a novel Home Intelligence (HI) module for proactive smart homes. Finally, it discusses the gap between cutting-edge research and commercially available products, exploring the potential of AI-powered smart buildings and digital ecosystems that can balance energy efficiency with user comfort.

Keywords: Aritificial Intelligence, Smart Homes, Security, Smart Aging, Home Intelligence

Abstract: Plagiarism is defined as to take or theft some work and present it has one's own work. This plagiarism checker system is used to analyze the plagiarism data. Plagiarism affects the education quality of the students and thereby reduces the economic status of the country. Plagiarism is done by paraphrased works and the similarities between keywords and verbatim overlaps, change of sentences from one form to other form, which could be identified using Word Net etc. This plagiarism detector measures the similar text that matches and detects plagiarism. Internet has changed the student's life and also has changed their learning style. It allows the students to get deeper in the approach towards learning and making their task easier. Many methods are employed in detecting plagiarism. Usually plagiarism detection is done using text mining method. In this plagiarism checker software, user can register with their basic registration details and create a valid login id and password. By using login id and password, students can login into their personal accounts. After that students can upload assignment file, which will further divide into content and reference link. This web application will process the content, visit each reference link, and scan the content of that webpage to match the original content. Also, students can view the history of their previous documents.

Keywords: Plagiarism, Assignment, Werkzeug, Jinja,Flask.

Abstract: The "Child Tracking System" represents a progressive and impactful endeavor to address the paramount concern of child safety during emergency situations. This innovative project harnesses the capabilities of the Internet of Things (IoT) by integrating key components such as the NodeMCU, GPS module, and a panic button. In a world where ensuring the well-being of children is of utmost importance, this system emerges as a technological safeguard designed to provide real-time tracking and immediate response capabilities.At its core, the NodeMCU serves as the technological linchpin, facilitating seamless connectivity to the internet. Through integration with an IoT platform like ThingSpeak or Blynk, it establishes a dynamic communication channel essential for robust data exchange. Complementing this connectivity is the GPS module, a critical component responsible for furnishing accurate and timely location data. By leveraging GPS technology, the system ensures precise tracking of a child's movements, delivering a heightened level of security.

Keywords: NodeMCU, GPS module, Blynk, Security.

Abstract: The Indian petrochemical industry significantly contributes to economic growth, producing essential chemicals. This study guides investors in analyzing petrochemical stocks through fundamental and technical analysis. Fundamental analysis evaluates industry growth, company financials, management, competitive landscape, and regulations. Technical analysis examine historical price movements and trading volumes using chart patterns, moving averages, and indicators like the RSI. Focusing on companies like DCW Limited, Supreme Petrochem, Savita Oil Technologies, Panama Petrochem Ltd., Manali Petrochemicals Ltd, and Polychem Ltd, the study identifies Manali Petrochemicals Ltd. as the most promising investment. Supreme Petrochem Ltd. is recommended for holding, while high RSI values suggest selling Panama Petrochem Ltd., Savita Oil Technologies Ltd., and Polychem Ltd. Combining both analysis methods offers a comprehensive investment approach, optimizing portfolios in the competitive Indian petrochemical sector.

Keywords: Indian petrochemical industry, Fundamental analysis, Technical analysis, Company financials, Ratios, Chart patterns, Moving averages, RSI (Relative Strength Index).

Abstract: Conflict is necessary outcome of individual and group interaction. People with different ideologies and backgrounds try to introduce their own principles in workaspects that give rise to conflict. Conflict when well managed and directed& is immensely useful in improving an organisation functioning and productivity along with providing individuals a valuable opportunities to evolve a join philosophy of work and cooperation. However if not managed conflict weakens the organisationaloutcome, creates stress for the individual, introduces dissatisfaction and reduces efficiency. Conflict is resolved through leadership, better communication and good negotiation all of them bringing the positive outcome through the issues involved inthe conflict

Keywords: Conflict, organisationaloutcome, productivity

Abstract: A study on labour welfare measures in the milk industry. It has developed by the employee welfare facilities are different. Topics to be discussed in the project they are employee working environment for the Organization, safety for employee welfare, job satisfaction and development of employee for the organization. The very logic behind providing welfare schemes is to create efficient, healthy, loyal and satisfied labour force for the organization. The employee satisfied with the selection for the percentage to calculate the chi-square analysis to using the research process. The purpose of this paper is to present the result of a survey on the attitude and behaviour of employee towards the various level of satisfied categories will be applied for the erode district milk producer.

Keywords: Labour welfare measures, milk industry, job satisfaction and development of employee

Abstract: This research examined the hazards and difficulties faced by exporters and carriers involved in the international shipment of dangerous goods. It explored the intricacies of navigating regulations specific to each country, the demanding requirements for packaging and handling these materials, and the potential for accidents during transport. The study assessed the impact on both exporters, who are responsible for ensuring safe delivery, and carriers, who must adhere to stringent protocols. The study investigated the potential risks of incidents during transportation, considering the safety concerns for both parties. By analyzing these challenges, the research aimed to contribute to improvements in safety protocols and efficiency within the hazardous materials export process. By analyzing these challenges, the research aimed to contribute to the development of improved safety measures and more efficient processes for the export of hazardous materials.

Keywords: Dangerous Goods, Hazardous Goods, Risks involved in DG, Logistics and DG

Abstract: Digital technology is new force that is driving massive changes in the insurance sector. For insurance, the changing landscape of insurance has led to a flurry of technological advancements in the Industry. New digital technologies are changing the way customers interact with insurers. The way Insurance Company operates through digital channels and depend heavily on technology to service an Insurance policy is known as Digital Insurance. Digital Insurance consist of offer a customer- first business approach, offer a variety of channels through which customers can compare and buy insurance through on-line without the help of middlemen or agents.

Keywords: Insurance, technology, on-line, agents.

Abstract: Rapid urbanization in the North-Eastern hilly regions, driven by population growth, economic development, and housing shortages, has led to increased construction of residential and commercial buildings on or near slopes. Shallow foundations on slopes have lower bearing capacity compared to flat ground, posing challenges for engineers. Factors like slope excavation, heavy rainfall, and human activities further affect slope stability. This study models soil and structural interactions to analyze slope stability and foundation bearing capacity using software like PLAXIS and ETABS. Results show that larger footings and greater setback distances increase bearing capacity, while steeper slopes reduce it. Ensuring safe foundation design on slopes is crucial for building stability and safety in these regions.

Keywords: Bearing capacity, setback, slopes, combine footing, single footing, footing width, Plaxis.

Abstract: The study sought to explore the impact of organizational culture, leadership, and communication on employee engagement and performance in Rane Brake Lining. It focused on identifying the factors that foster employee engagement and how this engagement affects their performance. Key findings indicated that employees in the company are engaged due to effective leadership, clear communication between management and employees, a good recognition system, and adequate employee participation in decision-making. Only a small number of employees disagreed with these statements. The study demonstrated a connection between employee engagement and performance, highlighting the importance of designing and implementing an effective employee engagement strategy for both employee and organizational success.

Keywords: Employee engagement, sampling technique, empowerment

Abstract: The way a multi-story building behaves during intense seismic activity is determined by its structural design. One of the main reasons for failure during earthquakes is recognised to be irregular configuration, either in plan or in elevation. Therefore, irregular structures are a cause for concern, particularly those found in high seismic zones. The present study addresses the seismic response of reinforced concrete structures with regular and irregular configurations. A G+12-storey building with a regular frame and an irregular frame with various irregularities is designed and they are analyzed and compared. The study's investigation of the seismic performance of Arunachal Pradesh, India, has been the main emphasis. The building is designed as per IS 456: 2000 and IS 1893(Part I): 2016. Seismic evaluation is carried out in finite element-based software ETABS. Equivalent Static Analysis and Response Spectrum Analysis are used for seismic analysis of the building where the results of Storey displacement, Storey drift, Storey stiffness, Modes, and Base shear will be compared and evaluated. Results show that the vertical geometric irregularity model is more efficient than the other models and the re-entrant corner irregularity model is the least stable.

Keywords: Irregular building, Response spectrum analysis, Storey displacement, Storey drift, Base shear

Abstract: The main objective of this study is to find out the structural performance of a (G+10) building between conventional, shear wall, and flag walls in North East India (Meghalaya). As per IS 1893:2016, the building is located in Zone V. The ETABS software is used for seismic analysis, focusing on the response spectrum. The models are compared based on natural period, base shear, storey drift, stiffness, and lateral displacement in the X and Y directions. This study compared a 10-storey building with different wall types and found that flag walls improve performance by reducing vibration time by 50%, base shear by 2%, storey drift (14% along the X-direction and 41% along the Y-direction), storey displacement (44% along the X-direction and 54% along the Y-direction), and stiffness (98% along the X-axis and 99% along the Y-axis). Using a central shear wall and flag walls on the 3rd, 7th, and top floors (model M19 SW+FW) saves space and performs better than conventional systems, making the structure stronger and more stable during earthquakes. Model M19 SW+FW gives a good result compared to 22 models.

Keywords: Base Reaction, Shear wall, Flag wall, Response Spectrum Analysis, Storey Displacement, Storey Drift, Storey Stiffness.

Abstract: In recent advancements in material science, there is a trend toward replacing existing single-phase materials with composites for enhanced control over properties. This study focuses on developing a reinforced composite using Nano Nickel Oxide(n-NiO) within an epoxy resin matrix to enhance its mechanical properties. The aim is to investigate how the matrix material affects the density, hardness of the developed composites. Composites were fabricated using a stirred dispersion with resin casting, adhering to ASTM standards for specimen preparation and testing. Tests were conducted at room temperature and under Cured conditions. Results indicate that incorporating n-NiO significantly improves the mechanical properties of epoxy resin. Magnetic stirring facilitated the homogeneous distribution of n-NiO within the epoxy matrix, followed by curing at ambient temperature. For comparative analysis, some composites underwent additional thermal curing at 80°C for 40 minutes. The impact of varying n-NiO concentrations (0.5%, 1%, 1.5%, and 2%) on the composite's properties was assessed. The curing process employed K6 hardener in a weight ratio of 1:10. Mechanical attributes such as Density, Hardness were evaluated. The composite with 1.5% n-NiO exhibited optimal enhancement in all measured properties compared to neat epoxy resin. This study concludes that the inclusion of n-NiO significantly augments the mechanical performance of the epoxy-based composite material.

Keywords: Mechanical, Nano Nickel Oxide(n-NiO), Epoxy Resin, Composite, Stirred Dispersion, Room Temperature, Oven Curing, ASTM

Abstract: Modular construction is becoming increasingly popular in North East India, especially in Guwahati, due to its efficiency and sustainability. This innovative construction method offers several benefits in a region where logistics and construction materials can be challenging. It is particularly advantageous in areas prone to natural disasters and allows for flexibility in design while being customizable to meet various requirements. Modular construction can offer significant benefits in North East India. The region's challenging topography, weather conditions, and seismic activity make transportation and logistics difficult. The prefabricated modules can be transported more easily to remote areas, making construction more feasible in this region. This paper explores the benefits of utilizing precast shear walls and sandwich panel walls in the northeastern region. The study involves the design and analysis of a structure using software such as ETABS and Revit, which are Building Information Modeling Software (BIM). The measurements adhere to IS 456:2000 and IS 15916:2010 of the Indian Standard Codes.

Keywords: Modular Construction, North-East India, Precast Shear Wall, Revit (BIM), ETABS, Sandwich Panel Wall

Abstract: The primary objective of the study is to determine the Anatomical Location of Injuries Prevalence in Aged group (14-17) Football Players . The sampling method was purposive - a non-random method of sampling design for football players with a specific purpose. A total of 254 Indian elite football players from various states and national level units affiliated to the All India Football Federation were selected as the sample size of the study. The findings of the study revealed that 7.87% of football players in the age group (14-17 years) reported knee injuries, 24.80% reported ankle injuries, 23.30% football players reported shoulder/upper arm injuries. Injuries were reported by 19.33%. In hamstring/groin, 09.15% reported lower leg/foot injuries/injuries, 08.20% of football players reported arm/elbow injuries, 07.05% of football players in the age group reported back injuries, and 07.65% of football players in the age group reported an injury. This study found that knee and ankle are the common anatomical location of injuries.

Keywords: Prevalence, Football, Aged group, Football, Injuries

Abstract: Our study addresses the critical need for innovation in transportation infrastructure management, particularly in the realm of pothole detection. Traditional methods are time- consuming and resource-intensive, prompting us to explore advanced technologies like Convolutional Neural Networks (CNN), You Only Look Once (YOLO), transfer learning, and OpenCV-based methodologies. Our goal is to stream- line pothole detection, allowing transportation authorities to allocate resources more effectively for infrastructure main- tenance. Through a comprehensive analysis, our objective is to identify the strengths and weaknesses of each technique, aiding decision-making in selecting and implementing pothole detection strategies. This interdisciplinary approach has the potential to revolutionize the management of potholes, resulting in improved efficiency, objectivity, and consistency in road maintenance practices.

Keywords: pothole detection, Convolutional Neural Net- works (CNN), You Only Look Once (YOLO), transfer learning, Support Vector Machines (SVMs), Random Forests.

Abstract: We propose a medical recommender system that provides disease detection and classification along with personalized recommendations for medical requirements based on the user's current diagnosis, medical history, their susceptibility, and genetics. The objective of the system is to assist medical professionals in their decision-making process and used in situations where access to the required or qualified medical professional is unavailable and immediate treatment is to be provided.

Keywords: Personalized Drug Recommendation, Medical Recommender System, Medical Informatics, Machine Learning in Healthcare, Electronic Health Records (EHRs).

Abstract: The significance of home automation and security systems in the contemporary era cannot be overstated, owing to their versatility in deployment across various locations. This project introduces a smart home automation and security system that leverages solar panels to optimize the utilization of abundant renewable energy sources. In our project two things are considered one is energy generation and another is security system. The prime focus of this technology is to provide electricity to household equipment like lights and fan by the generated solar energy and to control it automatically by using Blynk application. This technology also enhances security by facilitating real-time monitoring and alerting for trespassers and fire detection through seamless integration with microcontrollers. By blynk's secure communication protocols and customizable mobile interfaces, users can remotely monitor their premises, receive instant notification on unauthorized access, and detect potential fire incidents, ensuring a responsive security system.

Keywords: Solar Panel, IR sensor, Fire sensor, IOT Blynk server, Microcontroller, Buzzer, Arduino IDE

Abstract: This project aims to develop and implement automated railway gate control system driven by solar energy, that has the ability to recognize when trains are on the track, and can operate the gate accordingly. The system uses a servo motor to regulate the movement of the gate and infrared sensors to detect the train on the track. In order to warn vehicles and pedestrians, the system also uses buzzers and traffic signal lights. A solar panel and a rechargeable battery that can supply power continuously power the system. The goal of the technology is to increase efficiency and safety at level crossings while preventing accidents. The Arduino IDE software can be used to program the Arduino Uno microcontroller, which is the basis of the system.

Keywords: Arduino board, IR Sensor, Solar panel and Stepper motor controller.

Abstract: Psychological distress is a state of emotional distress associated with stresses and demands that are difficult to cope with in daily life. The present study deals with the comparison of psychological distress of Male and Female students. For measure the Psychological distress of the study, the self-design questionnaire was used. The sample consisted of 75 male students and 75 female students were selected for the study. The findings of the research showed that significant difference of Psychological distress was found between Male and Female students; male students was found to have got more psychological distress rather than female students.

Keywords: Distress, gender, students

Abstract: Solar energy is a promising renewable resource with vast potential for sustainable power generation. To harness this energy efficiently, solar tracking systems play a pivotal role in optimizing the alignment of solar panels with the sun's position. In this study, we propose an automatic solar tracking system based on light sensing using Light Dependent Resistors (LDRs) and control logic implemented through comparators and motor drivers. The system employs a reference voltage generated by a voltage divider circuit comprising a potentiometer and resistor combination to set thresholds for sunlight intensity. When the voltage from the LDRs exceeds the reference voltage, indicating sufficient sunlight, the system initiates actions such as adjusting the position of a solar panel to maximize energy capture. The project's hardware components, including LDRs, comparators (LM358), motor drivers (L293D), and voltage regulators, are integrated to create a robust and efficient solar tracking solution. Through experimental validation and performance analysis, our system demonstrates enhanced energy harvesting capabilities compared to static solar panel installations. The proposed automatic solar tracking system offers a cost-effective and sustainable approach to optimizing solar energy utilization, with potential applications in residential, commercial, and industrial settings.

Keywords: Light Dependent Resistors (LDRs), Comparators (LM358), Motor drivers (L293D), Renewable energy, Energy harvesting, Voltage divider circuit, Sunlight intensity.

Abstract: This attack can also help to quickly crack Wi Fi passwords and harvest Wi-Fi.Newtwork settings without the need for further orientation or Software. Using Python algorithms based on the operating system functionalities, it reduces this into three basic modules so that you can make most of your time - to drive changes.The first thing is it performs a deep dive into your Wi-Fi networks to create detailed profiles, with everything from connectivity type and status through to the name (SSID). This module teaches users so that they have the ability to understand more about their networks and how it behaves which in turn can enable them for better decisions making on network access/testing, etc. Finally, it gives a handy module for detecting all Wi-Fi networks names (a feature very helpful to identify the network formation).

Abstract: In 2021, the emergence of digital payment platforms, especially Unified Payments Interface (UPI), has resulted in a surge in cyber security risks and deceptive activities. As more users adopt UPI for their transactions, the risk of cyber frauds has become a significant concern. Protecting users from potential financial losses due to these threats has become imperative, necessitating the development of advanced security measures. This project aims to build a robust fraud detection system for UPI transactions using machine learning techniques. By analyzing transaction patterns and identifying anomalies, the system seeks to make UPI transactions more secure. The primary goal is to limit the losses for users in case of cyber frauds, ensuring a safer and more reliable digital payment experience.

Keywords: Machine Learning, UPI, Fraud, Random Forest, SVM, Decision Tree Regressor

Abstract: The primary aim of the research is to find out the effects of physical fitness related exercise programme on work efficiencies of collegiate students with Respect to Resting Herat Rate and Respiratory Rate . The data was collected through 40 collegiate students in the form of different tests. The demographic information about, age, height, weight etc. was obtained before seeking training. This study involves a cross sectional, comparative pre and post-test of experimental research, so this study was conducted in an experimental design. Resting heart rate and Respiratory Rate of each subject was recorded before & after training. Physical Exercise programme was design by the investigator and the reliability and validity find out by the researcher on the basis of pilot study. The Physical Exercise programme was planned for 4 days a week 60 minutes in a day for 12 weeks including 10 minutes warm up period and 05 minutes cooling down. the findings of the study revealed that there was insignificant difference of RHR was found between .The findings of the study revealed that there was significant Physical Fitness Exercise Programme on RHR was found between pre and posttest of experimental group. The findings of the study revealed that there was insignificant difference of Respiratory Rate was found between pre and post of Control group. The findings of the study revealed that there were significant effects of Physical Fitness related Exercise of Respiratory Rate was found between pre and post of experimental group.

Keywords: RHR, RR, Exercise, Fitness

Abstract: Research focuses on evaluating subjective answers, a task demanding significant time and dedication. Introducing a machine learning and natural language processing-driven method for this purpose, the system employs natural language processing combined with a Random Forest model to categorize subjective answers. The approach includes data preprocessing, feature extraction, and classification, aiming to enhance the accuracy and efficiency of evaluating subjective answers. This study not only improves the evaluation process but also contributes to advancing methods in automated assessment. Designed to be adaptable to various educational contexts, the implementation handles diverse types of subjective responses. By automating the evaluation process, educators can save time and allocate more resources to other critical teaching activities. Additionally, the method provides a consistent and unbiased assessment, reducing human error and subjectivity. Research underscores the potential of integrating advanced machine learning techniques into educational tools, paving the way for more innovative applications in the future.

Keywords: Machine Learning, Natural Language Processing, Random Forest, Answer Assessment, Education,

Abstract: This study compares the Response Spectrum approach and Equivalent static methods with a performance-based seismic design for G+ 30. It was discovered that the building's story stiffness, story displacement, story shear, and story drift were all superior to those of the Response spectrum technique or Equivalent static approach, where the response spectrum, equivalent static, and performance basis design maximum narrative drifts were found to be 0.0009113, 0.000383, and 0.00113, respectively. Furthermore, performance-based design has been found to have the lowest building displacement value-28.4 mm on the top floor-when it comes to story displacement. In the performance comparison, the building that was found to have the highest stiffness was building number 58010171KN/m, building number 19517666KN/m for ESM, and building number 37269757KN/m for RSM. The greatest measured value for the tale shear is 18716.99KN, the ESM is 9985.45, and the response spectrum is 14030.019. They satisfy the ASCE 7-16 code and IS 1893 Pt-1 2016 acceptance standards. The findings demonstrated the superior efficiency of performance-based seismic design over RSM and ESM. The ASCE-7,16 Code's acceptance criteria for the hinge response in the beam, column, and shear wall have been seen to be met by the tabulated value, which is less than the IO level that is completely operational and fulfils the criterion value.

Keywords: Performance- Base Seismic Design, Story Displacement, Story Shear, Story Drift, Story Stiffness. Response Spectrum method, Equivalent Static Method. Fiber hinge, Plastic hinges.

Abstract: The primary market of securities and shares play a vital role in the development of an economy. The IPOs act as a platform for new capital inflows for the start-up organizations to enable the growth of an economy. Secondly, they prove to be a systematic mechanism that helps the owners to realize returns for their investments and efforts. The IPOs have been a key source of financing for a longer time, especially in corporate terms. Nevertheless, there have been puzzling scenarios around the pricing of the IPO and it had led to pervasive efficiency in the market. . There have been multiple studies in the market around this premise that examines the IPO's performance. There has been specific focus on the behaviour of the stock in the initial days of listing, short run and long run aftermarket performance of the IPO. This paper is an attempt to summarise the existing research of aftermarket performance of IPOs.

Keywords: ipo pricing, underpricing, aftermarket performance

Abstract: The present paper deals with the Flow Shop Scheduling (FSS) models with special structures. The algorithm to optimize the waiting time of jobs has been proposed. The main goal of the study is to achieve a sequence of jobs that provides the minimum total waiting time of jobs. The numerical example has been solved to present the algorithm structure.

Keywords: Waiting time of jobs, Flow shop, Scheduling, Processing time.

Abstract: This study evaluates the risk profile of debt funds within mutual fund investment strategies, focusing on their market, credit, interest rate, and liquidity risks. Debt funds, while generally considered safer than equity funds, are subject to a complex array of risks that can significantly impact investor returns. The assessment explores the underlying instruments held by debt funds, such as government securities, corporate bonds, and money market instruments, and analyzes how fluctuations in macroeconomic indicators particularly interest rates and credit ratings affect fund performance. Case studies of recent debt fund defaults and regulatory interventions (such as those by SEBI in India) are used to illustrate systemic vulnerabilities. The paper also highlights the importance of portfolio duration, credit quality, and fund manager strategies in mitigating risks. The findings underscore the need for comprehensive risk profiling by investors and robust regulatory oversight to ensure transparency and protect investor interests in debt-oriented mutual fund products

Keywords: Debt funds, Risk assessment, Interest rate risk, Investment risk, Risk-Return analysis