🧭 Personal Job Tracker (Actively Evolving)

A full-stack Job Tracking Dashboard that helps users organize and monitor their job applications efficiently — from application to offer. Built with a focus on clarity, scalability, and developer experience.

🚀 Tech Stack

• Frontend: React, Tailwind CSS
• Backend:: Express.js, Node.js
• Database: MongoDB
• Containerization: Docker
• Language: TypeScript
• AI Integration: Hugging Face API (Embeddings & Model Inference)

🔗 Live Link: View Project Here

Note: This project runs on a free/hobby backend. Initial requests may experience a short delay (cold start). Please wait a few seconds or refresh if needed.

✨ Key Features

• CRUD System — Create, update, delete, and view job applications seamlessly.
• Authentication — Secure login system (email/password; Google OAuth planned).
• Kanban Dashboard — Intuitive drag-and-drop interface for managing job stages.
• Filtering, Sorting & Pagination — Server-side operations for performance and scalability.
• Deep Linking — Syncs filter and sort state with URLs for reproducible views.
• 🤖 AI Job Fit Score — Uses AI to analyze job descriptions and resumes to suggest the best matches.
• Error Handling & Validation — Consistent and informative feedback across UI and backend.
• Responsive Design — Optimized for desktop, tablet, and mobile devices.

🧩 Architecture Highlights

• Modular Express API with clearly defined routes and middleware for scalability.
• Separation of concerns between data handling and UI rendering.
• Backend-driven logic — filtering, sorting, and pagination handled server-side to reduce client load.
• State synchronization between URL parameters and frontend store for shareable views.

🧠 Future Enhancements

• 🔑 Google Sign-In (OAuth 2.0) integration.
• 📊 Analytics Dashboard — Visual insights into job progress, response rates, and timelines.
• 💅 UI/UX Polish — Improved Kanban visuals and user flow refinements.

🤖 AI-Capable Development

This project reflects an AI-augmented workflow — not AI dependency. AI tools like GitHub Copilot and ChatGPT were integrated to:

• Accelerate boilerplate generation and improve refactor quality.
• Debug complex TypeScript and API integration issues faster.
• Brainstorm architectural patterns and optimize component design.
• Maintain a balance between automation and active problem-solving.

💡 The goal wasn’t to let AI build the project, but to enhance how I think, debug, and iterate.

🛠 Setup Instructions

1. Clone this repository: git clone https://github.com/RohanMishra47/Job-Tracker.git
2. Install dependencies:

cd client && pnpm install
cd server && pnpm install

3. Set up environment variables:

MONGO_URI=your_mongo_connection_string
PORT=5000
JWT_SECRET=your_secret_key

4. Run the development server: server: pnpm dev client: pnpm run dev

5. Access the app at http://localhost:5173

📦 Deployment

• Frontend and backend can be containerized using Docker for easy deployment.
• Compatible with cloud platforms such as Render, DigitalOcean, or Vercel.

💡 Lessons Learned

• The importance of architectural consistency between frontend and backend.
• How server-side data operations improve scalability.
• The value of stateful URL design for reproducible and shareable user experiences.
• Why AI + developer intent beats AI-only automation.

💬 Support & Contact

If you face any issues running the project or have suggestions for improvements, feel free to:

• Open an issue on this repository, or
• Reach out to me on LinkedIn or Twitter

I’ll be happy to help or discuss improvements!