Title of Project: [Object Detection Using Machine Learning]

Team Members:

1. [Vishal Soni (2100290100190) Section-C]
2. [Vinay Upadhyay (2100290100189) Section-C]
3. [Satyam Aditya (2100290100150) Section C]
4. [Sachin Kumar Yadav (2200290109013) Section C]

Steps for Execution:

1. Install required libraries using pip install opencv-python numpy.
2. Download and place yolov3.weights, yolov3.cfg, and yolov3.txt in the project directory.
3. Run the Python script object_detection.py to start real-time object detection via webcam.
4. Detected objects will be highlighted with bounding boxes and printed on the console (or spoken out if using the voice-enabled version).
5. Press Q to quit the detection window.