• Ravnit Sehgal
• Parth Panchal
• Kartik Rao
• Saiyyam Khambhaliya

Nowadays, Artificial intelligence (AI) is becoming part of our lives. It impacts all aspects of our lives: our day to day activities, the way we interact with others, our jobs or occupation, and therefore the choices that we make. Undoubtedly, Artificial Intelligence is the next big thing in Computer Science. The research conducted by technology companies in the field of Artificial Intelligence controls various verticals including Health Care, Automobile, Financial Services, Manufacturing, and Retail. In this paper, we propose a way to help visually challenged people with the help of AI and Machine Learning. We aim to develop an application for visually challenged people which will integrate the module’s of Person Recognition, Object Detection, Image Captioning, Text to Voice and Distance Calculation into one unit. It will improve the accuracy and reduce the time taken by each module to provide the results.

machine learning, yolo, yolov3, pytorch, tts, text to speech, distance calculation, object detection, image captioning

"Highly Optimized Detection using Electronic Retinas", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.448-451, April-2019, Available :http://www.jetir.org/papers/JETIR1904681.pdf

"Highly Optimized Detection using Electronic Retinas", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp448-451, April-2019, Available at : http://www.jetir.org/papers/JETIR1904681.pdf