AI-Powered Application Tracking System

Live Demo: https://ats-scanner-engine.vercel.app/ Deployed using Vercel

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🚀 Project Overview

AI-Powered Application Tracking System is a modern web application built using React + TypeScript, designed to simplify how users track and manage job applications. The UI is enhanced with smooth animations, clean design, and a fast development environment powered by the latest tools and libraries.

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🧩 Key Features

• Responsive, modern UI with React + Tailwind CSS
• Smooth page and component animations using GSAP
• Global state management with Zustand
• Routing and navigation powered by React Router v7
• Fully typed with TypeScript
• Lightning-fast builds and dev server using Vite
• Clean and structured code for long-term scalability
• Hosted and deployed via Vercel

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🛠️ Getting Started (Local Development)

1. Clone the repository

git clone https://github.com/yashuyouwaraj/AI-Powered-Application-Tracking-System.git
cd AI-Powered-Application-Tracking-System

2. Install dependencies

npm install

3. Start development server

npm run dev

Default Vite URL: http://localhost:5173

4. Build for production

npm run build

5. Start production server (SSR build if used)

npm start

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📦 Project Structure

/app                      → Main application components, routes, and pages
/constants                → Shared constants and configuration
/public                   → Static assets (icons, images, etc.)
/types                    → TypeScript types and interfaces
react-router.config.ts    → React Router route definitions
vite.config.ts            → Vite configuration with Tailwind, Router, TS paths plugins
package.json
tsconfig.json
README.md

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🌐 Deployment

This project is deployed using Vercel. Vercel automatically builds and serves both client and server bundles (React Router SSR).

Live App: https://ats-scanner-engine.vercel.app/

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✅ Technologies Used

• React 19
• TypeScript
• Vite
• Tailwind CSS
• GSAP (GreenSock)
• Zustand
• React Router v7
• Puter.js
• Node.js + React Router Server (for SSR if configured)
• Render (Hosting & Deployment)
• Git + GitHub (Version Control)

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🔍 Future Enhancements

• User authentication & profile system
• Export job application data to CSV/PDF
• AI-based application success prediction
• Improved analytics dashboard
• Mobile-first UI refinements
• Automated tests (Jest, React Testing Library)
• CI/CD (GitHub Actions)

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🤝 Contributing

Contributions are always welcome!

Steps:

1. Fork the repository
2. Create a new branch (git checkout -b feature/NewFeature)
3. Commit changes (git commit -m "Add NewFeature")
4. Push branch (git push origin feature/NewFeature)
5. Open a pull request

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📄 License

MIT License © 2025 Yashu Youwaraj

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✉️ Contact

For questions, suggestions, or issues, feel free to open an issue on GitHub.

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If you want screenshots, badges, or a more stylish README.md version, I can generate that too!