• Pranav Pravin Mane
• Onkar Tanaji Maske
• Dashrath Tanaji Pawara
• Nishant Pradeep Gawde
• Dhanashri Kane

This project report details the development of a robust Object Detection System with a Python Voice Assistance Module and a Web Application, aimed at empowering visually impaired individuals. The project addresses the fundamental challenge faced by the visually impaired in identifying objects and obstacles in their environment. The objectives are to create a real-time object detection system, integrate a voice assistance module for auditory feedback, and provide a user-friendly web application for accessibility. The literature review discusses existing solutions and relevant technologies, highlighting the potential of combining machine learning, voice assistance, and web technology to enhance the quality of life for the visually impaired. The project's methodology includes data collection, model training, voice assistance module development, and the creation of a web application. The results and evaluation section covers the system's performance metrics and user testing, demonstrating the system's effectiveness in enhancing independence and safety. The report also discusses limitations and future enhancements. Overall, this project represents a significant step toward improving the lives of visually impaired individuals through innovative technology and accessibility features.

Component, Machine Learning, Artificial Intelligence Object Detection, Visually Impaired, YOLO

"Robust Object Detection System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.b279-b281, May-2024, Available :http://www.jetir.org/papers/JETIR2405138.pdf

"Robust Object Detection System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppb279-b281, May-2024, Available at : http://www.jetir.org/papers/JETIR2405138.pdf