BlindAssist: An Android Based Application for Blind People Using AI

Millions of visually impaired individuals face daily challenges in navigation, object recognition, and independent living. Despite advancements in assistive technology, existing solutions often lack real-time functionality, affordability, or ease of use. This research presents the development of an AI-powered assistive mobile application designed to enhance accessibility and independence for blind individuals. The application integrates computer vision, natural language processing (NLP), and AI-driven voice assistance to provide real-time object recognition, obstacle detection, and navigation support. The study explores the limitations of current assistive technologies, highlighting the need for an intuitive, costeffective, and AI-enhanced mobile solution. The methodology includes the development of key modules such as real-time object detection, voice-based feedback, and GPS-assisted navigation. The application is developed using TensorFlow, OpenCV, Google Text-to-Speech API, and Android Studio.