• Bobbili Disshaa
• B Sahithi
• Alampally Ramya
• Dr. B. Srinivas Rao

The World Health Organization (WHO) suggests that, more than 2 billion individuals globally face vision related challenges in varying degrees of severity; out of which 295 million individuals encounter vision impairments. Navigating through the world around them is a significant challenge for them and there is a critical need for tools that aid in improved mobility and provide spatial awareness, safety, and independence for this community. Although traditional assistive technologies like guide dogs, electronic travel aids, and GPS-based solutions offer valuable support, they lack dynamic, real-time spatial awareness. Our "Intelligent Navigation App" proposed in this paper, harnesses the power of smartphones and AI to provide a reliable, cost-effective, comprehensive and user-friendly solution for those with visual impairments. It uses the capabilities of TensorFlow Lite to detect obstacles and hazards and Google ARCore's spatial mapping and depth detection capabilities to provide real time feedback using intuitive audio cues and haptic feedback describing the nature and distance of detected objects, empowering the users to confidently and safely navigate both indoors and outdoors.

Assistive Technology, Intelligent Navigation, Visually Impaired Mobility, Obstacle Detection, Depth Estimation, Real-Time Navigation, TensorFlow Lite, Google ARCore, Assistive AI Applications

"INTELLIGENT NAVIGATION APP FOR THE VISUALLY IMPAIRED: A SMARTPHONE-BASED ASSISTIVE TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.g53-g60, November-2024, Available :http://www.jetir.org/papers/JETIR2411605.pdf

"INTELLIGENT NAVIGATION APP FOR THE VISUALLY IMPAIRED: A SMARTPHONE-BASED ASSISTIVE TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppg53-g60, November-2024, Available at : http://www.jetir.org/papers/JETIR2411605.pdf