Detection of Objects to Assist Individuals with Visual Impaired Using YOLOv8

Navigating the world with visual impairments presents significant challenges. This project aims to develop a real-time object detection system to empower individuals with visual impairments, enhancing their mobility and independence. By harnessing the power of computer vision and machine learning, the system will employ object detection algorithms to identify and classify objects in the user's environment. This information will then be relayed through intuitive audio feedback, enabling users to perceive and interact with their surroundings more effectively. The project will encompass the exploration and evaluation of various state-of-the-art object detection algorithms, ultimately integrating the most effective solution into a comprehensive and user-friendly system