• R DEKSHITHA
• SWETHA BIJANAPALLI
• YOGITA RAIKAR
• T HEMANTH CHOWDARY
• PRASHANTH H S

Loss of vision that occurs due to some accident or disease from birth, is a huge problem faced by many people around the world. Access to information present on the internet or various other sources is essential in this fast paced world. It is quite hard for the non-sighted people to remain connected with the world and keep themselves informed and updated regularly. Hence, we propose a project which is a mobile application specifically designed to help blind or visually impaired people in their everyday lives, just like their human assistant. With this application, the visually impairs can get more autonomy as they can read with their ears and write with their voices. They can interact with the application through their voice as input to perform certain specific operations on their mobile such as make a call, write and send a message/email, capture the surroundings, recognize currency notes or people. This application sends voice output while reading new unread messages/emails, news highlights, current time and weather, or to produce warning of the obstacles. Objects and people present around them can be detected and identified when they instruct the application to capture the scene. The identified objects are given as output in the form of speech. Objects are detected using OpenCv and TensorFlow, and with the ratio of the box and the mainframe, the approximate distance of the object from the person is calculated and if it is too close a warning is produced. Object detection feature is extended to recognize currency notes and people.

Visually Impaired, Assistant, Speech-to-Text, Text-to-Speech, Object Detection, Object Recognition

"SURVEY ON PERSONAL ASSISTANT FOR VISUALLY IMPAIRED", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.c496-c500, April-2022, Available :http://www.jetir.org/papers/JETIR2204271.pdf

"SURVEY ON PERSONAL ASSISTANT FOR VISUALLY IMPAIRED", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppc496-c500, April-2022, Available at : http://www.jetir.org/papers/JETIR2204271.pdf