One of the most important senses for a living is vision. Millions of people living in this world deal with visual impairment. These people encounter difficulties in navigating dependently and safely, facing issues in accessing information and communication. In this paper presents the development of a system to assist visually challenged people in real-time. The proposed system uses a YOLO Algorithm or module to get images and then processes them using computer vision algorithms to extract useful information. The system is designed to be portable, affordable and easy to use. The paper describes the design and implementation of the system, with software components. The system is capable of detecting obstacles, reading text, identifying objects, and recognizing faces. The user interacts with the system through a simple interface consisting of alert notification. The paper includes the results of tests carried out to evaluate the accuracy and effectiveness of the system. The results demonstrate that the system is capable of assisting visually challenged people in real-time, and can be a valuable tool to enhance their quality of life. The paper includes the results of tests carried out to evaluate the accuracy and effectiveness of the system. The tests involved capturing images of various objects, faces, and text and analyzing the output generated by the system. The results demonstrate that the system is capable of assisting visually challenged people in real-time, and can be a valuable tool to enhance their quality of life.