Developed a real-time finger counting system using Python and computer vision techniques to detect and track a user's hand through a webcam. The system processes live video frames, identifies hand landmarks, and determines the number of raised fingers based on the detected hand positions. Implemented real-time image processing and hand landmark analysis to enable accurate and interactive finger-counting functionality. The project provided practical experience in Python programming, computer vision, real-time video processing, and algorithmic problem solving.