🚀 Resume Screening & Query Assistant 📄

📌 Overview

This is a Resume Screening & Chat Assistant built using Streamlit, Machine Learning, and Google Gemini AI. It helps users analyze resumes, predict job categories, and evaluate how well a resume matches a job description. Additionally, it provides an AI-powered chat assistant for resume-related queries.

🚀 Features

🎯 Resume Screening

• Upload resumes in PDF, DOCX, or TXT formats.
• Extract text automatically and clean it for analysis.
• Predict job category using TF-IDF vectorization and Logistic Regression.
• Provide an AI-generated Resume Score based on job description matching.
• 

💬 AI Chat Assistant

• Chat with Google Gemini AI for resume improvement suggestions.

• Get tips on career development, job applications, and professional growth.

• Filters out non-resume-related queries:-

  

🛠️ Tech Stack

• Python
• Streamlit for UI
• Scikit-learn for ML
• Google Gemini AI for NLP
• TF-IDF Vectorization for text processing
• Pickle for model storage

📂 File Structure

📂 Resume-Screening-Assistant
├── app.py                # Main Streamlit application
├── clf.pkl               # Trained Support Vector Classifier model (optional)
├── logreg_model.pkl      # Trained Logistic Regression model
├── tfidf.pkl             # TF-IDF Vectorizer
├── encoder.pkl           # Label Encoder
├── requirements.txt      # Required dependencies
├── .env                  # Environment variables (GEMINI API key)

📥 Installation & Setup

1. Clone the repository:

   git clone https://github.com/yourusername/resume-screening.git
   cd resume-screening

2. Install dependencies:

   pip install -r requirements.txt

3. Set up your .env file:

   echo "GEMINI_API_KEY=your_api_key" > .env

4. Run the Streamlit app:

   streamlit run app.py

🎯 How It Works

1. Upload a resume 📑
2. Extract text automatically 📝
3. Predict job category 🔍
4. Get resume score based on job description 💯
5. Chat with AI for improvements 🤖

📌 Example Queries

1. Which is the most common font name and size in resumes?
2. How do I include leadership experience if I haven't had a formal leadership role?
3. What are the best skills to highlight for entry-level jobs?
4. Can I put volunteer work on my resume?
5. How do I quantify my accomplishments in a student project?

🏆 Future Enhancements

• Add deep learning models for better job category predictions.
• Improve resume scoring accuracy with more AI-driven insights.
• Implement ATS compliance checks for resumes.

🤝 Contributing

Pull requests are welcome! Feel free to open an issue for bug fixes or new feature suggestions.

📜 License

This project is MIT Licensed.

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🚀 Built with ❤️ by Archit Choudhury