• Dusharla Sathish

In the evolving landscape of inclusive technology, assisting the visually impaired with autonomous indoor mobility is both a humanitarian necessity and a technical challenge. NavSight is an AI-powered indoor navigation system engineered to enhance the independence and safety of visually impaired individuals. Built using Flask and Django frameworks and integrated with advanced object detection (YOLOv3), voice interaction, and QR code recognition, NavSight operates entirely through natural voice commands. The system enables the user to detect obstacles, steps (highs and lows), and directional paths using a mobile camera. Secure voice authentication ensures user access, while emergency alerts notify guardians in real-time. Offline by design, NavSight requires network connectivity only for alerts, offering a transformative shift in accessible navigation solutions.

Indoor Navigation, Artificial Intelligence, Voice Recognition, Object Detection, Emergency Alert, QR Code, Assistive Technology, Computer Vision.

"NavSight: An AI-Powered Indoor Navigation System for Visually Impaired Individuals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.a107-a113, May-2025, Available :http://www.jetir.org/papers/JETIR2505010.pdf

"NavSight: An AI-Powered Indoor Navigation System for Visually Impaired Individuals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppa107-a113, May-2025, Available at : http://www.jetir.org/papers/JETIR2505010.pdf