This project is being developed using a sprint-based workflow following professional software engineering practices.
Version: v0.1.0 (Foundation)
- Create GitHub Repository
- Create Project Folder Structure
- Create Virtual Environment
- Install Dependencies
- Generate
requirements.txt - Initialize Git Repository
- Configure
.gitignore - Create
config.py - Create Logging Module
- Configure Database
- Create Base Streamlit App
- Initial Commit
- Build Sidebar Navigation
- Create Home Page
- Create Dashboard Layout
- Design KPI Cards
- Create Reusable Components
- Add Theme Configuration
- Team Analytics
- Player Analytics
- Match Analytics
- Interactive Charts
- Performance Metrics
- Trend Analysis
- CSV Upload
- Excel Upload
- Data Validation
- Data Cleaning
- Database Integration
- PDF Export
- Excel Export
- CSV Export
- Report Templates
- User Authentication
- User Roles
- Session Management
- Settings Page
- AI Insights
- Smart Recommendations
- Automated Reports
- Performance Prediction
- Complete Documentation
- Unit Testing
- Docker Support
- Cloud Deployment
- Performance Optimization
- Release v1.0.0
| Module | Status |
|---|---|
| Foundation | 🟡 In Progress |
| UI Framework | ⏳ Planned |
| Dashboard | ⏳ Planned |
| Analytics | ⏳ Planned |
| Reports | ⏳ Planned |
| Authentication | ⏳ Planned |
| AI Insights | ⏳ Planned |
| Deployment | ⏳ Planned |
Build a production-ready, customizable Sports Analytics Dashboard Platform that supports multiple sports, advanced analytics, interactive visualizations, reporting, and AI-powered insights.