Smart Resume AI 🚀

A powerful AI-driven platform for optimizing resumes and advancing careers, built with Python and Streamlit.

Features

🔍 AI-Powered Resume Analysis

• Instant AI feedback on resume content and format
• ATS (Applicant Tracking System) compatibility scoring
• Keyword matching against job requirements
• Section-by-section analysis and recommendations
• Skills gap identification

📝 Smart Resume Builder

• Professional resume templates (Modern, Professional, Minimal, Creative)
• Intelligent content suggestions
• Real-time formatting
• Section-based organization (Personal Info, Experience, Education, Skills, Projects)
• Export to DOCX format

📊 Analytics Dashboard

• Resume performance metrics
• Skills analysis
• Industry insights
• Historical data tracking

🎯 Job Search Integration

• Tailored job recommendations
• Job portal integration
• Role-specific skill requirements
• Customized learning resources

💬 Feedback System

• User feedback collection
• Feature requests
• Analytics and insights
• Continuous improvement

Tech Stack

• Frontend: Streamlit
• Backend: Python
• AI/ML:
  • Natural Language Processing
  • Machine Learning Models
  • BERT/TensorFlow Integration
• Database: SQLite
• File Handling: PDF, DOCX support

Installation

1. Clone the repository

git clone <[repository-url](https://github.com/ShadowAniket/AI-RESUME.git)>
cd AI-RESUME

2. Install dependencies

pip install -r requirements.txt

3. Initialize the database

python init_default_admin.py

4. Run the application

streamlit run app.py

Project Structure

AI-RESUME/
├── app.py                    # Main application file
├── ui_components.py         # UI component definitions
├── requirements.txt         # Project dependencies
├── resume_analytics/        # AI/ML analysis modules
├── dashboard/              # Analytics dashboard
├── feedback/              # User feedback system
├── jobs/                  # Job search integration
├── utils/                # Utility functions
├── config/              # Configuration files
└── assets/             # Static assets

Features in Detail

Resume Analysis

• Analyzes resume content and structure
• Provides ATS compatibility score
• Identifies missing keywords and skills
• Suggests improvements for each section
• Formatting recommendations

Resume Builder

• Multiple professional templates
• Section-based organization
• Skills categorization (Technical, Soft, Languages, Tools)
• Project and experience formatting
• Education and certification sections

Analytics

• Resume performance tracking
• Skills gap analysis
• Industry trends
• Success metrics

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/YourFeature)
3. Commit your changes (git commit -m 'Add some feature')
4. Push to the branch (git push origin feature/YourFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE.md file for details