title	emoji	colorFrom	colorTo	sdk	pinned
Ats2	⚡	red	blue	docker	false

ATS Resume Screening AI (INDIA AI 2026)

This project is a Flask-based web application designed to automatically screen and categorize resumes using Machine Learning. It utilizes a TF-IDF vectorizer and a trained classifier to predict job categories based on the text content of a resume.

🚀 Features

• Automated Classification: Instantly predicts the job category from raw resume text.
• Modern UI: Built with a responsive Tailwind CSS interface for ease of use.
• Containerized: Fully Dockerized for seamless deployment, specifically configured for Hugging Face Spaces.

🛠️ Tech Stack

• Backend: Python, Flask
• Machine Learning: Scikit-learn, Joblib, Pandas
• Frontend: HTML5, Tailwind CSS
• Deployment: Docker

📂 Project Structure

├── app.py                # Main Flask application logic
├── Dockerfile            # Container configuration for deployment
├── requirements.txt      # Python dependencies
├── model/                # Pre-trained ML models (LFS tracked)
│   ├── resume_classifier.pkl
│   └── tfidf_vectorizer.pkl
├── templates/            # HTML templates
│   └── index.html
└── static/               # Static assets and test files

Screenshots

⚙️ Installation & Local Setup

1. Clone the repository

git clone <repository-url>
cd ats-resume

2. Install Dependencies

It is recommended to use a virtual environment:

pip install -r requirements.txt

3. Run the Application

python app.py

The application will be available at http://0.0.0.0:7860.

🐳 Docker Deployment

To build and run the project using Docker:

docker build -t ats-resume .
docker run -p 7860:7860 ats-resume

📝 Usage

1. Open the web interface in your browser.
2. Paste the full text of a candidate's resume into the "Resume Details" text area.
3. Click Predict Job Category.
4. The AI will display the predicted job category (e.g., Data Science, HR, Engineering).

📄 License

© India AI 2026 Copyright