ResuMatch: AI-Powered CV-Job Alignment Tool

ResuMatch is an intelligent application that evaluates the alignment between a candidate's CV (resume) and a job description, providing detailed feedback and generating a professional email response.

Demo

resume_matcher_demo.mp4

Features

• CV-Job Alignment Analysis: Evaluates how well a candidate's CV matches a job description
• Detailed Feedback: Provides specific reasons for match/mismatch
• Professional Email Generation: Creates a ready-to-send email response to the candidate
• Multiple Input Methods: Upload files (TXT, PDF) or paste text directly
• Sample Data: Try with included example data

Technology Stack

• Streamlit: Web interface
• LangGraph: Orchestration of the evaluation workflow
• Mistral AI: Powers the evaluation and email generation
• PyPDF2: PDF parsing (optional)

Setup Instructions

Prerequisites

• Python 3.8+
• Mistral AI API key

Installation

1. Clone the repository:

   git clone https://github.com/Nawap1/ResuMatch.git

2. Install dependencies:

   pip install -r requirements.txt

3. Create a .env file in the project root and add your Mistral AI API key:

   MISTRAL_API_KEY=your_api_key_here
   

4. (Optional) Install PyPDF2 for PDF support:

   pip install PyPDF2

Running the Application

Start the Streamlit application:

streamlit run app.py

Then open your web browser and navigate to the provided URL (typically http://localhost:8501).

Usage

1. Upload or Enter Information:

   • Use the "Upload Files" tab to upload CV and job description files (TXT or PDF)
   • Or use the "Text Input" tab to paste the content directly

2. Process the Data:

   • Click "Evaluate CV" to start the analysis

3. Review Results:

   • View the detailed evaluation of the CV-job match
   • Read the generated email response
   • Download the results as text files

4. Try with Sample Data:

   • Click "Use Sample Data" in the sidebar to test with example CV and job description

Project Structure

ResuMatch/
├── app.py              # Main application file
├── data/               # Sample data
│   ├── cv.txt          # Example CV
│   └── job_description.txt  # Example job description
├── .env                # Environment variables (API keys)
└── requirements.txt    # Project dependencies