Full Stack IPL Cricket Analytics Dashboard and Statistics Platform
Group: Capstone Project
|Product Category: BI Reporting & Analytics
|Sub Category: Data Analysis
About this Product
IPL Analytics Dashboard is an advanced, full-stack capstone project that transforms 17 years of Indian Premier League ball-by-ball match data (2008–2025) into a production-grade cricket intelligence platform — complete with a data ingestion pipeline, a 22-table PostgreSQL database, 50+ REST API endpoints, and 14 interactive dashboard pages.
With this project, you'll build a platform that can:
- Ingest and parse Cricsheet JSON match files into a normalized database via an automated Python pipeline
- Compute batting, bowling, and fielding statistics — per-season and all-time career totals
- Browse teams, players, match scorecards, and season-wise squad details
- Explore sortable leaderboards — most runs, wickets, sixes, best economy, and more
- View points tables with NRR computed from actual ball-by-ball innings data
- Compare players and teams head-to-head with a dedicated comparison tool
This project teaches you practical skills like:
- Full-stack development with FastAPI and Next.js App Router
- Relational database design with 22+ normalized tables and audit trails
- REST API design with 14 route modules, service layers, and Pydantic DTOs
- Interactive data visualization with Recharts and Chart.js
- JWT authentication with role-based access control
It uses Python, FastAPI, SQLAlchemy, PostgreSQL, Alembic, Next.js, React, Tailwind CSS, Recharts, and Chart.js.
Why this project matters:
IPL data is rich, real, and publicly available. This project gives you a complete picture of how production data platforms are built — from raw JSON ingestion to interactive dashboards.
Project Mentor
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