• Anil Thapa
• Akash Bongane
• Madhuri Rokade
• Nilesh Wani

The primary role in detecting the objects in this complex evolution necessitates a computer vision system that can deal with both indoor and outdoor classes. This zeal has necessitated increased attention in recent decades. Object identification with a single labelling approach has been used in previous implementation techniques. In their daily lives, visually impaired and blind people face a variety of obstacles. The proposed project's aim is to create an Android-based application for people who are blind or visually impaired.The system's goal is to detect real-time objects and Indian currencies that are scanned through a mobile camera and notify blind people about them through audio or vocal information. The proposed framework makes use of Machine Learning and Google's TensorFlow Lite object detection API.It's a useful app that makes it much easier for blind and visually disabled people to complete daily tasks with less effort.It's a small contribution to India's Make-In-India movement.

Object Detection, Machine Learning ,Android Application ,Image , SSDMOBILENET , Visually Impaired People, Computer Vision, Algorithms ,Neural Networks

"Real Time Object Detection Android Application using Machine Learning Concepts for Visually Impaired People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d101-d109, June-2021, Available :http://www.jetir.org/papers/JETIR2106414.pdf

"Real Time Object Detection Android Application using Machine Learning Concepts for Visually Impaired People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd101-d109, June-2021, Available at : http://www.jetir.org/papers/JETIR2106414.pdf