ResumeIntelligenceSystem# 🤖 AI Resume Intelligence Platform

An AI-powered recruitment and resume screening platform that automates candidate evaluation using ATS scoring, semantic matching, FAISS vector search, and LLM-powered recruiter insights. Built with Streamlit, Sentence Transformers, SQLite, and Groq LLMs.

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🚀 Live Demo

🔗 Try the live application here

https://resumeintelligencesystem-ibqcqv74msreb3iyfvb9wq.streamlit.app/

Upload resumes → Paste a Job Description → Rank Candidates → Generate AI Insights.

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🔐 Demo Credentials

Use the following credentials to explore the platform:

Demo Account

Username: demo
Password: demo123

Recruiter Account

Username: recruiter
Password: recruit123

Admin Account

Username: admin
Password: admin123

Note: Demo accounts are provided for testing and evaluation purposes.

⚙️ How It Works

Resume Upload (PDF / ZIP)
            ↓
Resume Parsing (PyPDF2)
            ↓
Skill Extraction
            ↓
ATS Matching Engine
            ↓
Semantic Similarity Matching
(Sentence Transformers)
            ↓
Final Candidate Ranking
            ↓
AI Recruiter Assistant (Groq)
      ├── Resume Summary
      ├── Recruiter Feedback
      ├── Job Fit Analysis
      ├── Resume Chat
      └── Candidate Comparison
            ↓
Recruiter Dashboard

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🛠️ Tech Stack

Layer	Technology
Frontend	Streamlit
LLM	Groq (Llama 3.3 70B)
Embeddings	Sentence Transformers
Vector Search	FAISS
Database	SQLite
Visualization	Plotly
PDF Processing	PyPDF2
Machine Learning	Scikit-Learn
Reporting	ReportLab

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✨ Features

📄 Resume Processing

• Upload multiple PDF resumes
• ZIP resume upload support
• Automatic resume text extraction
• Resume skill extraction

🎯 Candidate Evaluation

• ATS score calculation
• Semantic resume-job matching
• Final candidate scoring
• Automatic candidate ranking

🤖 AI Recruiter Assistant

• AI-generated resume summaries
• Recruiter feedback generation
• Missing skill identification
• Job fit analysis
• Resume Q&A chatbot
• AI candidate comparison

🔍 Candidate Recommendation Engine

• FAISS-powered vector search
• Semantic candidate retrieval
• Skill-based recommendations

📊 Recruiter Dashboard

• Candidate analytics
• Ranking visualization
• Search stored candidates
• Performance metrics

📑 Report Generation

• Candidate PDF reports
• CSV ranking export
• Recruiter insights reports

🔐 Authentication

• Login system
• Session management
• Demo recruiter access

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🏗️ Architecture

Streamlit Frontend
        ↓
Resume Processing Layer
        ↓
ATS + Semantic Matching Engine
        ↓
FAISS Vector Store
        ↓
Groq AI Services
    ├── Summary Generator
    ├── Feedback Generator
    ├── Job Fit Analyzer
    ├── Resume Chat
    └── Candidate Comparator
        ↓
SQLite Database

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📁 Project Structure

ResumeIntelligenceSystem/
│
├── app.py
├── requirements.txt
├── README.md
├── .gitignore
│
├── database/
│   └── db.py
│
├── src/
│   ├── auth.py
│   ├── parser.py
│   ├── skills.py
│   ├── ats.py
│   ├── matcher.py
│   ├── recruiter.py
│   ├── ranking.py
│   ├── summary.py
│   ├── feedback.py
│   ├── job_fit.py
│   ├── comparison.py
│   ├── chat.py
│   ├── embeddings.py
│   ├── faiss_store.py
│   ├── recommendation.py
│   ├── report_generator.py
│   └── zip_processor.py
│
├── tests/
└── .streamlit/
    └── config.toml

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🔧 Local Setup & Installation

1. Clone Repository

git clone https://github.com/varun0852/ResumeIntelligenceSystem.git

cd ResumeIntelligenceSystem

2. Create Virtual Environment

python -m venv venv

venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Create .env File

GROQ_API_KEY=your_groq_api_key

5. Run Application

streamlit run app.py

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☁️ Deployment

Service	Platform
Application	Streamlit Community Cloud
Database	SQLite
AI Models	Groq
Vector Search	FAISS

Live URL

https://resumeintelligencesystem-ibqcqv74msreb3iyfvb9wq.streamlit.app/

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🔮 Future Improvements

• Multi-user recruiter accounts
• OCR support for scanned resumes
• AI-generated interview questions
• Email candidate shortlists
• PostgreSQL integration
• Advanced recruiter analytics
• Cloud vector database support
• LinkedIn profile analysis

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👤 Author

Varun — AI/ML Engineer

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