Developed a Computer Vision object detection system using YOLO to detect and classify multiple objects in images. The system processes uploaded images and displays detected objects with bounding boxes, confidence scores, and detection summaries. The project demonstrates the practical application of Machine Learning and Computer Vision for real-time object detection.