🧠 ResumeMatcherAI

AI-powered Resume Matcher using LLaMA 3 + Streamlit
100% local, private, recruiter-ready. Built with Python, Ollama, and open-source tools.

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📌 Project Overview

ResumeMatcherAI allows recruiters or hiring managers to:

• Upload a Job Description (JD)
• Upload one or more candidate resumes
• Get an instant score out of 100 + explanation
• Download results as CSV or Excel

All powered locally via Ollama + LLaMA 3, ensuring privacy and speed — no cloud required.

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🛠 Stack

• 🐍 Python
• 🧠 Ollama (LLaMA 3)
• 🌐 Streamlit
• 📄 PDF / DOCX parser
• 🗂 Notion / Airtable-ready output (optional)

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🚀 Features

• Upload JD (.txt) + Resumes (.pdf, .docx)
• Score resumes using local LLM
• View results in a browser UI
• Download CSV/Excel with Score + Reason
• Fully offline-capable
• Extensible: Notion, Airtable, Email

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🖥️ Demo

Replace this with a screenshot or demo GIF of your Streamlit UI

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📂 Project Structure

ResumeMatcherAI/
├── input/
│   ├── jd.txt
│   └── resumes/
├── output/
│   ├── scores.csv / scores.xlsx
├── web_app.py          # Streamlit UI
├── app.py              # Backend logic
├── prompt.txt          # LLM scoring prompt
├── README.md

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⚙️ Installation

1. Clone the repository

git clone https://github.com/aneelv75/ResumeMatcherAI.git
cd ResumeMatcherAI

2. Install dependencies

pip install -r requirements.txt

3. Install & run Ollama + LLaMA 3

brew install ollama
ollama run llama3

4. Launch the web app

streamlit run web_app.py

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✨ Sample Output

Resume	Score	Reason
john_doe.pdf	86	Matches Python + NLP, lacks domain exposure
jane_smith.docx	65	Good experience but not JD-aligned

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🔧 Roadmap

• Add multi-JD matching
• Auto-email shortlists to hiring managers
• Integrate Notion & Airtable dashboards
• Schedule auto-runs (daily/weekly)

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🙌 Author

Built with ❤️ by Anil V

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📄 License

This project is licensed under the MIT License