Artificial Intelligence Powered Badminton Posture Correction System

This paper propose an Artificial Intelligence-based system that assists in improving badminton performance by correcting the posture with high accuracy. In contrast with traditional posture correction devices which usually depends on real-time feedback, this system focuses on post-game evaluation to provide complete and personalized insights. Using advanced video analytics and pose estimation (via MediaPipe), the system detects posture deviations, calculates joint angles and offers targeted corrective guidance. This process provides more granular, actionable feedback, compared to the broader stroke observation-based coaching. Additionally, the system also incorporates a progress tracking module, which provides a graphical representation of performance trends over time, thereby increasing user engagement and motivation. The user- centered design provides specialized feedback for all kinds of players from newbies to top experts providing scalability and adaptability. This Data-Driven Technique helps in optimization of training rationale, reducing injury risks, and providing players with insights that ultimately helps them in refining their techniques.