Plyometric Training Analysis Mobile App

I want to build a mobile app for individual athletes who do plyometric exercises, such as jump squats, box jumps, and other explosive movements. The app will use the device's camera to analyze their movements in real-time, providing feedback on their landing mechanics, joint stability, and muscle imbalances to help prevent injuries. After the workout, the app will also offer a detailed session analysis, including corrective exercises for the areas that need improvement.

Key Features:
Real-Time Video Analysis: Use MediaPipe or PoseNet to detect pose and movement in real-time during plyometric exercises.
Immediate Feedback: Provide feedback based on detected imbalances, such as highlighting unstable joints or poor landing mechanics.
Post-Session Analysis: Offer a detailed report with corrective exercises after the session.
Mobile App: The app should be available for both Android and iOS.
Technologies:

Use MediaPipe or PoseNet for pose detection.
FlutterFlow for the UI, with some custom code to integrate the MediaPipe functionality.
Cloud storage (Firebase or AWS) saves and analyzes session data.
User Flow:

Athlete opens the app and selects the exercise they’ll perform.
An athlete performs the exercise while the app records the video and provides real-time feedback.
After the session, the app shows a detailed analysis with corrective recommendations.