I will develop tennis stroke classification app using mediapipe pose lstm ai

I will develop a custom tennis stroke classification app using MediaPipe Pose, LSTM, Python, and computer vision AI.

I can build a system that processes tennis video, extracts body keypoints, learns movement sequences, and automatically classifies strokes such as forehand, backhand, serve, volley, smash, or other custom actions. The goal is to turn your tennis footage or camera input into a working AI-powered application rather than simply providing video analysis.

What I can build:

• Tennis stroke classification
• MediaPipe Pose integration
• Human pose estimation
• Body keypoint extraction
• LSTM sequence modeling
• Action recognition
• Stroke detection
• Video classification
• Custom dataset training
• Real-time inference
• Computer vision integration
• AI application development

I can work with your existing videos, dataset, pose data, or code, or develop the complete pipeline from the ground up. The application can be designed for recorded footage or real-time camera input depending on your requirements.

Send me your target stroke classes, sample videos or dataset, preferred platform, and any existing code or model, and Ill build the right solution around your project.