AI Sports Match Prediction Platform
An AI-powered sports match prediction platform developed for a leading Turkish sports analytics company. The system leverages machine learning models and microservices architecture to deliver data-driven match predictions, statistical analysis, and real-time insights across multiple sports leagues. Architecture: Microservices with Spring Boot The platform was built using a microservices architecture with Java Spring Boot, enabling independent deployment, scaling, and maintenance of each domain-specific service. Core Microservices: Match Data Service: Ingests and normalizes match data from multiple league APIs (football, basketball, tennis, esports) Prediction Engine Service: Runs ML models to generate match outcome probabilities, score predictions, and trend analysis Statistics Service: Computes real-time team/player statistics, head-to-head records, form analysis, and historical performance metrics User Preferences Service: Manages user follow lists, notification preferences, and personalized prediction feeds Notification Service: Delivers push notifications for match start times, live score updates, and prediction alerts AI/ML Integration The prediction engine combines multiple approaches: ...