📄 Resume AI Analyzer

An AI-powered resume analyzer built using FastAPI, LangChain, and DeepSeek via Ollama, designed to extract key resume information, match it with job descriptions, and provide ATS-like feedback to enhance your hiring potential.

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🚀 Features

• 🔍 Extracts text from PDF and DOCX resumes
• 🤖 Uses deepseek-r1:7b-qwen-distill model (via Ollama)
• 📊 Generates ATS score and personalized feedback
• ✅ Highlights strengths, weaknesses, and keyword matching
• 🧠 Conversational Q&A with LLM for detailed resume improvement
• 🌐 Clean UI using HTML, CSS, and JavaScript

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🛠️ Tech Stack

• Backend: FastAPI, Python
• AI/LLM: LangChain, DeepSeek via Ollama
• Frontend: HTML5, CSS3, JavaScript, Jinja2
• Parsing: PyPDF2, python-docx

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📁 Folder Structure

Resume_AI_Analyzer/
├── main.py                  # FastAPI backend application
├── requirements.txt         # Python dependencies
├── README.md                # Project documentation
├── static/                  # Frontend static files
│   ├── css/
│   │   └── style.css
│   └── js/
│       └── script.js
├── templates/
│   └── index.html           # Jinja2 HTML template
├── uploaded_documents/      # Directory for uploaded resumes
└── .gitignore               # Git ignored files

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🧪 Installation & Usage

1. Clone the Repository

git clone https://github.com/GoldSharon/Resume_AI_Analyzer.git
cd Resume_AI_Analyzer

2. Install Dependencies

Make sure you have Python 3.9+ installed.

pip install -r requirements.txt

3. Start Ollama with DeepSeek Model

Ensure Ollama is installed and the model is pulled:

ollama run deepseek-r1:7b-qwen-distill

4. Run the FastAPI Server

uvicorn main:app --reload

Then open your browser and navigate to: 👉 http://127.0.0.1:8000

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📌 Example Use Case

1. Upload your resume

2. Optionally add a job description

3. The AI analyzes and returns:

   • ATS Score
   • Strengths & Weaknesses
   • Feedback
   • Keyword Matching

You can interact with the AI chatbot to improve your resume further.

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📄 Requirements

See requirements.txt. Key libraries include:

• fastapi
• uvicorn
• PyPDF2
• python-docx
• langchain
• langchain_ollama
• pydantic

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⚖️ License

MIT License © 2025 Gold Sharon R

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👨‍💻 Author

Gold Sharon R B.Tech in Artificial Intelligence and Machine Learning St. Joseph’s College of Engineering, Chennai 📧 gold33sharon@gmail.com 🌐 GitHub Profile

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🌟 Contribute

Feel free to fork this repository and open a pull request. Bug reports and feature suggestions are welcome!

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🧠 Future Improvements

• Add user authentication & login system
• Save resume analysis history
• Enhance LLM prompt tuning
• Deploy to cloud (Render, Railway, Heroku)

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