International Journal of Scientific Research and Engineering Development

Visually impaired individuals face significant chal- lenges in independently managing their health and mobility. This paper introduces an AI-powered mobile application designed to empower blind users by integrating real-time object and scene recognition, prescription reading, voice-guided navigation, telemedicine consultations, and emergency support into a fully accessible voice-driven interface. The system architecture com- bines smartphone sensors with backend cloud services and on- device machine learning to ensure offline resilience and multilin- gual adaptability. Detailed functional modules cover medication management, obstacle detection, SOS alerting, and environment scanning. Real-world use cases demonstrate improved autonomy, safety, and healthcare outcomes. The study concludes with a discussion on future enhancements and business potential to support widespread adoption and sustainability.