KhelSaarthi: An AI-Based Sports Talent Identification System Using Flutter and Firebase
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How to Cite

Machale, Nikita Avinash, and Anushree Sharad Ashtul. 2026. “KhelSaarthi: An AI-Based Sports Talent Identification System Using Flutter and Firebase”. Journal of Ubiquitous Computing and Communication Technologies 8 (4): 339-56. https://doi.org/10.36548/jucct.2026.4.003.

Keywords

KhelSaarthi
AI-Based Sports Assessment
Fitness Evaluation
Motion Detection
Machine Learning
Performance Analysis
Flutter Application
Firebase Integration
Sports Analytics

Abstract

The KhelSaarthi mobile app is a sports assessment and training system that uses Artificial Intelligence (AI) technologies to enhance the performance of athletes by providing them with smart feedback about their movements. The proposed model combines technologies such as artificial intelligence, camera-based motion tracking and Firebase cloud services to assess the performance of the users in different sports activities. The app allows conducting automated fitness test assessments, recording the performance of the users and providing them with tips for improving their skills. The app uses the machine learning technology for analyzing the movements and providing performance scores. The app provides secure authentication and data storing with the help of Firebase integration. The proposed system is developed using Flutter technology to provide cross-platform functionality.

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