🧠 AI-Powered Resume Assistant

An intelligent, Streamlit-based application that rewrites and optimizes resumes to better align with job descriptions using GPT-4. It provides keyword match scores, skill alignment analysis, and generates a professionally tailored PDF resume.

---

🚀 Features

✅ Upload Resume and Job Description in .pdf, .doc, .docx, or .txt formats
✅ Intelligent tailoring of resume content using OpenAI GPT-4
✅ Retains important technical keywords even if they are not present in the JD
✅ Match score analysis based on keyword similarity
✅ Soft skills and technical skills alignment scoring
✅ Actual page count from generated PDF resume
✅ Download tailored resume as a polished PDF
✅ Resume history stored in a local SQLite database
✅ Clean and responsive Streamlit UI

---

🗂️ Project Structure

AI-Powered Resume Assistant/
│
├── resume.py               # Main Streamlit application
├── .env                    # OpenAI API Key (excluded from Git)
├── requirements.txt        # Python dependencies
├── README.md               # Project documentation
├── JD.jpeg                 # Screenshot: JD Upload
├── Metrics.jpeg            # Screenshot: Metrics Output
└── resume_history.db       # Local SQLite DB for resume storage (auto-created)

---

🛠️ Installation

git clone https://github.com/<username>/AI-Powered-Resume-Assistant.git
cd AI-Powered-Resume-Assistant
pip install -r requirements.txt

Create a .env file in the root folder with:

OPENAI_API_KEY=your_openai_api_key_here

---

⚡ Usage

streamlit run resume.py

---

📸 Screenshots

📑 Job Description Upload

---

📊 Metrics Comparison After Tailoring

---

⚒️ Requirements

• Python 3.8+
• LibreOffice (optional, for .doc file conversion)

---

💡 Future Enhancements

• Resume keyword cloud visualization
• JD keyword extraction summary
• Option to fine-tune optimization aggressiveness
• Multi-language support

---

🤖 Powered By

• OpenAI GPT-4
• Streamlit
• pdfplumber
• PyPDF2
• scikit-learn

---

📄 License

This project is intended for learning and personal use only. Commercial distribution is not permitted.

---

🙏 Acknowledgements

Built to address the challenge of customizing resumes for today's competitive job market.

---

👨‍💻 Author

Sourabh Pandit

Generative AI • Agentic AI • Azure PaaS • Cloud-Native .NET Solutions

This project was developed as a practical Proof of Concept demonstrating:

• Multi-Agent AI
• LangGraph Orchestration
• Retrieval-Augmented Generation (RAG)
• Memory Management
• Guardrails & Observability
• Production-Inspired Architecture Patterns

Connect

• LinkedIn: https://www.linkedin.com/in/sourabh-pandit-b2570212
• GitHub: https://github.com/Spandit11/ai-powered-resume-assistant