BSc IT Project Guide: Sports Analytics Dashboard
1. Introduction
The Sports Analytics Dashboard is a web-based application that allows users to monitor and analyze live sports event data and player statistics. The primary goal is to offer real-time insights into game progress, team performance, and individual player metrics using modern web technologies and data visualization tools.
2. Objective
To design and develop a dashboard that visualizes real-time data from various sports events, highlighting key performance indicators, live scores, and player stats in an interactive and user-friendly format.
3. Tools and Technologies
- Frontend: HTML, CSS, JavaScript, React.js or Vue.js
- Backend: Node.js / Django / Flask
- Database: MySQL / MongoDB / PostgreSQL
- APIs: Sports data APIs (e.g., SportRadar, TheSportsDB)
- Visualization: Chart.js, D3.js, or Recharts
4. System Modules
- Live Score Feed: Displays current scores for ongoing matches.
- Player Statistics: Real-time player metrics including goals, assists, fouls,
etc.
- Team Comparison: Side-by-side stats for team performance analysis.
- Historical Data: Archive and trends from past games.
- User Dashboard: Personalized dashboards based on user's selected teams or
players.
5. Methodology
1. Requirement gathering and analysis.
2. Design UI/UX mockups for the dashboard.
3. Implement backend and data integration with sports APIs.
4. Develop frontend components and visualization tools.
5. Testing with real-time data inputs.
6. Deployment and user feedback collection.
6. Expected Outcome
The project will deliver a fully functional web application where users can monitor live sports matches, view detailed statistics, compare player performances, and access historical trends, enhancing the experience for sports enthusiasts, coaches, and analysts.
7. Future Enhancements
- Integration with wearable devices for real-time fitness tracking.
- Machine learning for performance prediction and match outcome forecasting.
- Mobile application for accessibility on the go.