ResumiFy is an AI-powered web platform that revolutionizes the recruitment process through two key functionalities:

1. Resume Screening & Analysis: Provides instant AI-driven feedback on resumes, including:

   • Resume score (1-10)
   • Detailed review of strengths and weaknesses
   • ATS (Applicant Tracking System) friendliness assessment
   • Actionable improvement suggestions

2. Smart Candidate Matching: Enables recruiters to find the perfect candidates by:

   • AI-powered job-candidate matching
   • Advanced filtering and search capabilities
   • Candidate profile management
   • Direct communication channels

This project leverages the Google Gemini API for intelligent resume evaluation and candidate matching, built with a modern tech stack to provide a responsive and efficient user experience.

• Resume Upload & Analysis – Upload resumes in PDF format and receive comprehensive AI feedback
• Resume Scoring – Get an overall quality score (1-10) with detailed breakdown
• ATS Compatibility Check – Ensure your resume passes automated screening systems
• Improvement Suggestions – Receive actionable recommendations to enhance your resume
• Profile Management – Create and maintain a professional profile for recruiters
• Job Matching – Get matched with relevant job opportunities based on your profile

• Smart Candidate Search – Find candidates using AI-powered matching algorithms
• Advanced Filtering – Filter candidates by skills, experience, education, and more
• Resume Analysis – Get AI-generated insights about candidate resumes
• Candidate Management – Save and organize potential candidates
• Direct Communication – Connect with candidates through the platform
• Job Posting – Create and manage job listings with detailed requirements

• React.js – Interactive and dynamic user interface
• Vite – Fast frontend development and build tooling
• Axios – HTTP requests to the backend API
• Ant Design – Modern UI components and design system
• Tailwind CSS – Utility-first CSS framework
• React Router – Client-side routing
• Framer Motion – Animation library
• Headless UI – Unstyled, accessible UI components

• Django – High-level Python web framework
• Django REST Framework – RESTful API development
• Python – Backend programming language
• PyPDF2 – PDF text extraction

• Google Gemini API – AI-driven resume analysis and matching
• google-generativeai Python library – API interaction library

git clone [repository-url]  # Replace with your repository URL
cd ResumiFy  # Navigate to project directory

cd resume_ranking_backend  # Navigate to the backend folder
python -m venv venv  # Create a virtual environment
source venv/bin/activate  # Activate virtual environment (Linux/macOS)
# venv\Scripts\activate (Windows)

pip install -r requirements.txt  # Install dependencies

Create a .env file in resume_ranking_backend and add:

GEMINI_API_KEY=YOUR_GEMINI_API_KEY_HERE  # Replace with your actual API key

python manage.py makemigrations resume_app
python manage.py migrate resume_app

python manage.py runserver

Backend runs at: http://127.0.0.1:8000/

cd ../frontend  # Navigate to the frontend folder
npm install  # Install dependencies

Create a .env.local file in frontend and add:

VITE_BACKEND_API_URL=http://localhost:8000  # Backend URL

npm run dev  # Start frontend development server

Frontend runs at: http://localhost:5173/

1. Create an account and complete your profile
2. Upload your resume in PDF format
3. Receive AI-powered analysis and suggestions
4. Get matched with relevant job opportunities
5. Connect with recruiters directly through the platform

1. Create a recruiter account
2. Post job listings with detailed requirements
3. Use the AI-powered search to find candidates
4. Review candidate profiles and resumes
5. Connect with potential candidates
6. Manage your candidate pipeline

Contributions are welcome! Follow these steps to contribute:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/your-feature-name

3. Make changes and commit:

   git commit -m 'Add some feature'

4. Push to your branch:

   git push origin feature/your-feature-name

5. Open a pull request.

Please follow the project's coding guidelines.

This project is licensed under the MIT License.

🎉 Happy Resume Building! 🎉