An AI-powered Resume Screening and Enhancement System that analyzes resumes, extracts key information, and provides smart suggestions to improve candidate profiles.
- 🔍 Resume Parsing – Extracts email, skills, and key details from resumes
- 🤖 AI Skill Matching – Matches candidate skills with job requirements
- 📊 Smart Suggestions – Provides improvements for better resume quality
- 📧 Email Integration – Sends feedback directly to applicants
- 🌐 User-Friendly Interface – Simple and interactive UI
- Frontend: HTML, CSS, JavaScript
- Backend: Python (Flask)
- AI/NLP: SpaCy
- Database: CSV / JSON
- Tools: Git, GitHub, VS Code
AI_Resume_Screener/
│── app.py
│── skill_extractor.py
│── requirements.txt
│── README.md
│── static/
│── templates/
│── data/
- Clone the repository:
git clone https://github.com/VenkatLaxmi-code/ResumeBoost-AI.git
- Navigate to project folder:
cd AI_RESUME_SCREENER
- Install dependencies:
pip install -r requirements.txt
- Run the application:
python app.py
- Upload a JD
- Upload a resume
- System extracts skills & details
- AI analyzes and gives suggestions
- Option to send feedback via email
- 🔗 Job portal integration
- 📈 Advanced AI scoring system
- 🌍 Multi-language support
- 📊 Dashboard analytics
Contributions are welcome! Feel free to fork this repo and submit a pull request.
- SpaCy NLP Library
- Open-source community
Venkat Laxmi Gottam
⭐ If you like this project, don’t forget to star the repo!