Scholar Performance Tracker is a web application for tracking and analyzing academic performance metrics. This documentation provides comprehensive information about the system architecture, setup procedures, and development guidelines.
scholars-website/
├── client/ # Next.js frontend
├── server/ # Express backend
├── shared/ # Shared types and utilities
└── docs/ # Project documentation
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Frontend (Next.js + TypeScript)
- React components with TypeScript
- Tailwind CSS for styling
- Recharts for data visualization
- File structure:
client/ ├── src/ │ ├── app/ # Next.js App Router │ │ ├── layout.tsx # Root layout │ │ └── page.tsx # Home page │ └── styles/ # Global styles
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Backend (Node.js + Express + TypeScript)
- RESTful API endpoints with TypeScript
- Basic endpoints structure:
server/ ├── src/ │ ├── index.ts # Entry point │ ├── routes/ # API routes │ └── controllers/ # Route handlers
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Database (To be implemented)
- Options we could consider:
- MongoDB - Good for flexible scholar data
- PostgreSQL - Better for structured academic relationships
- SQLite - Simple option for early development
- Options we could consider:
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Additional Features to Consider
- Authentication (e.g., JWT tokens)
- Data validation (e.g., Zod/Yup)
- Caching layer
- Rate limiting
- Review the installation guide
- Set up your development environment
- Follow the coding standards
- Check the git workflow