MatchWise

This is a web-based resume analysis tool that leverages AI for content evaluation. It parses uploaded PDF resumes and uses the Google Gemini API to perform semantic analysis, extracting insights on structure, keyword density, and formatting effectiveness. The system is designed to assist users in optimizing their resumes for ATS and recruiter screening algorithms.

Features

• Upload resumes in PDF format using Multer for secure and efficient file handling.
• Uses Google Gemini API for AI-powered content evaluation.
• Extracts and parses text to assess structure and formatting.
• Analyzes keyword density and skill relevance.
• Provides feedback on ATS (Applicant Tracking System) compatibility.
• Displays AI insights in a clean, user-friendly React interface.

Tech Stack

Frontend

• React.js – For building a responsive and dynamic user interface
• Axios – For making HTTP requests to the backend

Backend

• Node.js – JavaScript runtime environment
• Express.js – Web framework for handling API routes and logic
• Multer – Middleware for handling file uploads (PDF resumes)
• pdf-parse – For extracting text content from uploaded PDFs

AI & Integration

• Google Gemini API – For AI-powered analysis and feedback generation

Tools & Utilities

• dotenv – For managing environment variables like API KEY securely
• cors – For enabling cross-origin communication between frontend and backend

Preview

Homepage

Loading Screen

Results

Installation and Setup Guide

1. Clone the Repository

git clone https://github.com/your-username/MatchWise.git
cd MatchWise

2. Backend Setup

cd backend
npm install

Create a .env file in the backend\ folder:

GEMINI_API_KEY=your_gemini_api_key
PORT=5000

Start the backend server:

node server.js

or (if you use nodemon)

nodemon server.js

3. Frontend Setup

cd ../matchwise-ats
npm install

Start the frontend development server:

npm run dev

4. Usage

• Open your browser and go to http://localhost:5173 (or the port shown in your terminal).
• Upload your resume, select a role, and click "Analyze" to get instant feedback.

5. Key Considerations

• Make sure your backend (localhost:5000 by default) is running before using the frontend.
• Never commit your .env file or API keys to public repositories.

Contributing

Contributions are welcome! If you have suggestions for improvements, bug fixes, or new features, please open an issue or submit a pull request.
Before contributing, please make sure your code follows the project’s coding standards and is well-documented.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For questions, feedback, or collaboration opportunities, feel free to reach out via LinkedIn or open an issue on this GitHub repository.