ANDROID APPLICATION FOR BLIND PEOPLE TO DETECT OBJECTS

Abstract: The goal of the project is to make Android apps more accessible to people with visual impairments. It uses machine learning and optical character recognition (OCR) to translate images into spoken language so that those with visual impairments can easily access weather updates and other vital information. The app's design also aims to provide clear instructions and help individuals overcome their daily challenges. The application provides real-time object detection, image-to-text conversion, text-to-speech synthesis, weather reporting, and position detection using the Java programming language and Android Studio. The camera takes pictures, converts visual data into aural input, and applies sophisticated machine learning models for object detection. Through the use of optical character recognition (OCR) technology, written content can be easily accessed by visually challenged individuals by converting photos into text. The application provides real-time weather data in audio format and also incorporates location detection and weather reporting. Clear directions and simple navigation are provided via the user interface, which was created with accessibility in mind.

Keywords: Optical Character Recognition, Speech Synthesis, Assistive Technology, Machine Learning.