Resume Match Pro

AI-Powered Resume Evaluator with ATS Compliance & JD Matching

🔍 Overview

Resume Match Pro is a smart resume evaluation app built with Streamlit that:

• Extracts content from your PDF resume
• Analyzes alignment with a provided Job Description (JD)
• Performs ATS compatibility checks (formatting, sections, length, etc.)
• Provides AI-driven suggestions using OpenAI's GPT for improving the resume
• Supports interactive Q&A to help you further improve your resume

🚀 Features

• 📄 Upload resume (PDF only)
• 💼 Optional JD input for match scoring
• 🤖 GPT-powered resume critique
• ✅ ATS compliance scoring and feedback
• 🧠 Skill category breakdown & keyword gaps
• 💬 Chatbot to ask resume-related follow-up questions
• 🎨 Professionally styled UI with Times New Roman theme

🛠️ Tech Stack

• Python 3.10+
• Streamlit
• OpenAI GPT (gpt-3.5-turbo)
• PyMuPDF for PDF parsing
• spaCy for keyword extraction
• dotenv for environment variable management
• Altair for visualizations

📦 Installation

# Clone this repo
$ git clone https://github.com/yourusername/resume-match-pro.git
$ cd resume-match-pro

# (Optional) Create virtual environment
$ python -m venv venv
$ source venv/bin/activate  # or venv\Scripts\activate on Windows

# Install requirements
$ pip install -r requirements.txt

🔑 Environment Setup

Create a .env file in the root directory with your OpenAI API key:

OPENAI_API_KEY=your_openai_key_here

🚦 Run the App

streamlit run app.py

📁 Folder Structure

resume-match-pro/
├── app.py                  # Main Streamlit app
├── requirements.txt        # Dependencies
├── .env                    # API keys
├── utils/                  # Modular helper functions
│   ├── resume_parser.py
│   ├── jd_parser.py
│   ├── keyword_extractor.py
│   ├── match_scorer.py
│   ├── ats_checker.py
│   ├── gpt_feedback.py
│   └── display_helpers.py

📷 Screenshots

📜 License

MIT License

---