Production Level Backend Complete

[Upendra48]

This pull request introduces a comprehensive backend foundation for a job application tracking system, implementing core authentication, board management, analytics features, and related infrastructure improvements. The changes establish JWT-based authentication, user and board models with MongoDB, Redis caching for analytics, and a robust project structure with Docker and CI integration.

Backend Feature Implementation

• Added JWT-based authentication system, including registration, login, password hashing with bcrypt, and protected routes using a custom jwt_required decorator.
• Implemented board and column management with endpoints for retrieving user boards, single board details, and board columns, all protected by JWT authentication.
• Developed analytics endpoints for dashboard summary, status distribution, and recent applications, leveraging Redis for caching summary data.

Project Structure, DevOps, and Documentation

• Updated and expanded the README.md to reflect the tech stack, features, project structure, setup instructions, and API documentation.
• Added a CI workflow for backend code, including Python setup, dependency installation, and syntax checking.
• Improved the backend Dockerfile for better caching and production readiness, with a note to use Gunicorn in the future.

These changes establish a scalable and secure backend foundation, ready for further feature expansion and frontend integration.