Abstract: Filing and managing complaints can be a time-consuming and frustrating process for individuals, organizations, and businesses. To address this issue, online complaint registration forms have become increasingly popular to simplify the complaint filing process. This paper presents the development of an online complaints registration form that provides users with an easy and efficient way to file complaints. The form is designed to be user-friendly and accessible, allowing users to file complaints easily and quickly, from anywhere and at any time. The portal includes a face recognition module that uses advanced machine learning algorithms, such as the Random Forest Classifier and Support Vector Machines, to identify potential criminals or suspects accurately and efficiently. The system includes features for tracking and monitoring complaints, assigning complaints to appropriate personnel, and managing the resolution process. The effectiveness of the system is evaluated through a user satisfaction survey, which shows that the majority of users find the form to be useful, easy to use, and efficient. The results indicate that the online complaints registration form has the potential to improve the efficiency and effectiveness of complaint management systems for various organizations and businesses.

Keywords: web based, compliant, machine learning algorithms

| DOI: 10.17148/IARJSET.2023.10612