📄 ResumeMatch AI

An AI-powered ATS Resume Analyzer that helps job seekers evaluate their resumes against job descriptions using LLMs, RAG, and NLP techniques.

The system analyzes resumes, detects missing skills, provides AI-powered recommendations, and allows users to chat with their resume.

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🚀 Features

✅ Upload Resume PDF
✅ Extract Resume Information Automatically
✅ Compare Resume with Job Description
✅ ATS Match Score Calculation
✅ Matching Skills Detection
✅ Missing Skills Identification
✅ AI Resume Feedback
✅ Learning Roadmap Recommendations
✅ Skill Radar Visualization
✅ Resume Chat Assistant using RAG
✅ Generate PDF Resume Report

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🧠 How It Works

1. User uploads a resume PDF.

2. The system extracts resume text using PDF processing.

3. User provides a Job Description.

4. Resume skills are compared with required job skills.

5. ATS score is calculated.

6. LLM generates:

   • Resume evaluation
   • Missing skills
   • Improvement suggestions
   • Career roadmap

7. User can ask questions about the resume using RAG.

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🏗️ System Architecture

Resume PDF
     |
     ↓
PDF Text Extraction
     |
     ↓
Text Cleaning & Chunking
     |
     ↓
Vector Search / Retrieval
     |
     ↓
RAG Pipeline
     |
     ↓
Groq LLM
     |
     ↓
AI Resume Analysis

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🛠️ Tech Stack

Programming Language

• Python

AI & LLM

• Groq LLM API
• OpenAI SDK
• Retrieval-Augmented Generation (RAG)

Framework

• Streamlit

NLP & Search

• MinSearch
• Text Processing

Visualization

• Plotly

Other Tools

• Python-dotenv
• PDF Processing
• Git & GitHub

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📂 Project Structure

ResumeMatch-AI/

│
├── app.py
├── rag.py
├── matcher.py
├── parser.py
├── chunking.py
├── search.py
├── utils.py
├── pdf_report.py
├── requirements.txt
├── .env
│
└── screenshots/
    ├── home.png
    ├── ats_score.png
    ├── radar.png
    ├── analysis.png
    └── chat.png

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📸 Application Screenshots

🏠 Resume Upload & Job Description

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🎯 ATS Match Score

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🧠 Skill Profile Visualization

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📊 AI Resume Analysis Report

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💬 Chat With Your Resume

▶️ Run Locally

1. Clone Repository

git clone https://github.com/Ai-MAFlutter/ResumeMatch-AI.git

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2. Create Virtual Environment

python -m venv .venv

Activate:

Windows:

.venv\Scripts\activate

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3. Install Dependencies

pip install -r requirements.txt

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4. Setup Environment Variables

Create a .env file:

GROQ_API_KEY=your_api_key_here

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5. Run Application

streamlit run app.py

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📌 Example Usage

Input:

Resume:

Python Developer Resume

Job Description:

Looking for AI Python Developer with:
- Python
- FastAPI
- Docker
- LLM
- RAG
- Cloud

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Output:

The application provides:

• ATS Match Score
• Matching Skills
• Missing Skills
• AI Recommendations
• Resume Improvement Roadmap

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🤖 AI Capabilities

The project uses LLMs to:

• Understand resume context
• Analyze job requirements
• Generate professional feedback
• Answer questions about the resume

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🔮 Future Improvements

• Add user authentication
• Deploy on cloud platform
• Add more resume templates
• Improve skill matching using embeddings
• Add multilingual resume support

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👩‍💻 Author

Built with ❤️ using Python, AI, RAG, and Streamlit.