Sports Analyzer Portal: A Smart Training Assistant for Athletes
Sumanta Chatterjee1, Anirban Ghosal2, Arpan Panja3, Arpan Roy4, Anik Haldar5, Bikram Debnath6 , Arka Das7
1Assistant Professor, Dept. of CSE, JIS College of Engineering, Kalyani, WB, India 2Assistant Professor, Dept. of ECE, JIS College of Engineering, Kalyani, WB, India 3UG Student, Dept. of CSE, JIS College of Engineering, Kalyani, WB, India
4UG Student, Dept. of CSE, JIS College of Engineering, Kalyani, WB, India 5UG Student, Dept. of CSE, JIS College of Engineering, Kalyani, WB, India 6UG Student, Dept. of CSE, JIS College of Engineering, Kalyani, WB, India 7UG Student, Dept. of CSE, JIS College of Engineering, Kalyani, WB, India
Abstract - The Sports Analyzer Portal is an intelligent, web-based platform designed to assist athletes and sports enthusiasts in enhancing their posture, performance, and overall training using technological advancement. The project attempts to bridge the gap between conventional sports coaching and contemporary digital solutions by providing a visual and interactive interface. In its first phase, the portal targets two sport likes — football and cricket — by bringing perfect postures of activities such as football kicking methods and cricket bowling or batting positions through high-definition static images and videos. These are visual aids for users to learn independently and imitate perfect techniques while practicing. The future plans for the portal involve AI- based posture detection and real-time feedback, allowing users to upload videos of themselves and obtain analysis based on movement and posture alignment using pose estimation systems like MediaPipe or OpenPose. The portal will also provide customized nutrition plans based on physique, type of sports, and fitness goals, so that athletes remain in perfect balance between training and food consumption. This comprehensive approach aims to change the portal into an all-around digital support system for athletes, beyond posture correction alone. Plans are in the long term to expand the platform to serve a broad array of sports by addressing fundamental movements, training drills, and sport-specific nutrition advice. Despite being still in its interface development stage, the project forms a solid ground for a future- proofed system integrating sports science, artificial intelligence, and human-centered design to facilitate autonomous learning and distance coaching in the sports sector.
Key Words: Posture analysis, sports training, pose estimation, MediaPipe, OpenPose, football, cricket, AI coaching, web-based sports platform, digital training
