IPL Match Intelligence Dashboard – Full Stack Cricket Analytics System
Turned 290K+ IPL ball-by-ball records into real-time insights with a full-stack analytics dashboard
290K+ ball-by-ball records processed
3 core insights modules (Batting, Bowling, Phase Analysis) 100% live deployment (Vercel + Render)
6 → 2 sec data insight loading (API optimization)
3 analytics dashboards built end-to-end Full-stack deployment completed in production environment
Top-performing IPL analytics project (hackathon submission)
Real-time API-driven dashboard with 3 insight layers Deployed live and accessible globally
Overview
IPL data is complex and lacks simple visual insights for fans and analysts. Process Analyzed IPL data, built Flask APIs, React dashboard, and deployed full-stack app. Results Processed 290K+ IPL records, built 3 analytics modules, and deployed full-stack dashboard live. Reflection Could improve UI design, add live match data, and include ML-based predictions.