Skip to content

Latest commit

 

History

History
104 lines (83 loc) · 2.64 KB

README.md

File metadata and controls

104 lines (83 loc) · 2.64 KB

Resume Screening Tool

Project Overview

The Resume Screening Tool is an innovative AI-powered platform designed to revolutionize the recruitment process by bridging the gap between students and recruiters through intelligent resume analysis and job matching.

##Demo go to photos/demo1 and to photos/Screen Recording 2024-12-04 at 7.17.41 PM

Key Features

For Students

  • 🔍 Detailed Resume Analysis
  • 💡 Personalized Improvement Suggestions
  • 🤖 Interactive AI Chatbot Support
  • 🎯 Job Recommendation System
  • 🔗 LinkedIn Job Scraper

For Recruiters

  • 📊 Advanced Resume Ranking
  • 🧠 Semantic Matching Algorithms
  • 📈 Comprehensive Candidate Insights
  • 📝 Exportable Candidate Reports

Technology Stack

  • Python
  • Streamlit
  • Hugging Face Embeddings
  • Gemini Pro RAG
  • Mixtral Groq Chat
  • Natural Language Processing (NLP)
  • Machine Learning Algorithms

Prerequisites

  • Python 3.8+
  • API Keys:
    • Google AI Studio API Key (for Gemini)
    • Groq API Key

Setup and Installation

1. Clone the Repository

git clone https://github.com/your-username/resume-screening-tool.git
cd resume-screening-tool

2. In the Frontend Folder

Update .env in the frontend directory:

GOOGLE_API_KEY=your_google_api_key_here
GROQ_API_KEY=your_groq_api_key_here

In the Backend Folder

Update .env in the backend directory:

GOOGLE_API_KEY=your_google_api_key_here
GROQ_API_KEY=your_groq_api_key_here

3. Install Dependencies

# Create a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

# Install required dependencies
pip install -r requirements.txt

4. Obtain API Keys

5. Run the Application

python -m streamlit run app.py

Key Capabilities

Resume Parsing and Analysis

  • Extracts key information from resumes
  • Evaluates ATS (Applicant Tracking System) compatibility
  • Provides detailed compatibility breakdown

Intelligent Matching

  • Semantic matching between resumes and job descriptions
  • Keyword analysis
  • Format compatibility check
  • Requirements coverage assessment

Career Support

  • Interactive chatbot for resume guidance
  • Personalized job recommendations
  • Visualization of career path opportunities