The Tennis Serve Analysis App is a mobile application designed to revolutionize the way tennis players analyze and improve their serves. Leveraging machine learning algorithms and computer vision techniques, the app provides users with personalized feedback of their serves.

? Pose Estimation: Utilizes MoveNet, a machine learning model, to estimate key points in the user's serve, including joints such as elbows, shoulders, and knees.

? Professional Player Comparison: Allows users to compare their serve with a professional player of equivalent height, providing visual overlays and angle comparisons.

? Ball Tracking: Employs AutoML Vision for ball detection and tracking, calculating the speed of the ball after impact.

? User Feedback: Provides real-time feedback on joint angles, enabling users to understand their technique and receive suggestions for improvement.

? Data-Driven Progress Tracking: Enables users to track their progress over time, helping them monitor improvements and refine their training strategies.