TalentMatch AI 🚀

Intelligent Resume Screening & Candidate Ranking Platform

TalentMatch AI is an AI-powered recruitment intelligence platform that automates resume screening, candidate ranking, ATS scoring, skill extraction, and job matching using Natural Language Processing (NLP) and Machine Learning.

The system analyzes resumes against job descriptions, extracts relevant skills and qualifications, identifies missing competencies, and generates ATS-style scores to help recruiters make faster and more informed hiring decisions.

Designed as a modern hiring assistant, TalentMatch AI combines traditional information retrieval techniques with semantic AI models to deliver accurate candidate-job matching at scale.

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🌐 Live Demo

Application:

https://talent-matchai.streamlit.app/

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✨ Features

🤖 Intelligent Candidate Matching

Choose between multiple matching approaches:

• TF-IDF Similarity Matching
• BERT Semantic Matching
• Hybrid Ranking System

📄 Resume Parsing

Supports:

• PDF Resumes
• DOCX Resumes

Automatically extracts:

• Skills
• Experience
• Education
• Degrees
• Job Titles

📊 ATS Scoring Engine

Generates detailed ATS-style scores based on:

• Skill Match
• Experience Match
• Education Relevance
• Resume Completeness

🔍 Skill Gap Analysis

Identifies:

• Missing Skills
• Recommended Skills
• Job Fit Improvements

📈 Interactive Analytics Dashboard

Provides:

• Candidate Rankings
• ATS Score Breakdown
• Skill Distribution Analysis
• Missing Skill Insights

📑 Export Reports

Download:

• CSV Results
• Candidate Reports
• ATS Analysis Summaries

🔐 User Authentication

• Login System
• Recruiter Dashboard Access

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🏗️ System Architecture

Resume Upload
      │
      ▼
Document Parsing
(PDF / DOCX)
      │
      ▼
Text Extraction
      │
      ▼
NLP Processing
      │
      ├─────────────► Skill Extraction
      │
      ├─────────────► Experience Detection
      │
      ├─────────────► Education Analysis
      │
      ▼
Candidate Representation
      │
      ▼
TF-IDF / BERT Embeddings
      │
      ▼
Similarity Matching Engine
      │
      ▼
ATS Scoring Engine
      │
      ▼
Candidate Ranking Dashboard

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🎯 Key Capabilities

✅ Resume Screening Automation

✅ Candidate Ranking

✅ ATS Compatibility Scoring

✅ Semantic Resume Matching

✅ Skill Gap Analysis

✅ Batch Resume Processing

✅ PDF & DOCX Support

✅ Exportable Reports

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🛠️ Technology Stack

Frontend

• Streamlit
• Plotly

Backend

• Python 3.9+

Natural Language Processing

• spaCy
• NLTK
• Sentence Transformers

Machine Learning

• Scikit-Learn
• TF-IDF Vectorization
• Cosine Similarity

Semantic Search

• BERT Embeddings
• FAISS Vector Database

Document Processing

• PyPDF2
• pdfplumber
• python-docx

Data Processing

• Pandas
• NumPy

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📂 Project Structure

TalentMatch-AI/

├── app.py
├── requirements.txt
├── data/
├── models/
├── utils/
├── reports/
├── assets/
├── tests/
└── README.md

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📊 Business Impact

TalentMatch AI helps organizations:

• Reduce manual resume screening time
• Improve recruiter productivity
• Identify qualified candidates faster
• Standardize hiring decisions
• Detect missing skills automatically
• Process large applicant pools efficiently

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📸 Screenshots

Login

Dashboard

Resume Analysis

Candidate Ranking

Personalized Feedback

Skill Gap Analysis

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🚀 Local Installation

Clone Repository

git clone https://github.com/pn-dev-in/TalentMatch-AI.git

cd TalentMatch-AI

Create Virtual Environment

Windows

python -m venv venv
venv\Scripts\activate

Linux / macOS

python3 -m venv venv
source venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Download NLP Resources

python -c "import nltk; nltk.download('punkt'); nltk.download('stopwords'); nltk.download('wordnet')"

python -m spacy download en_core_web_sm

Run Application

streamlit run app.py

Open:

http://localhost:8501

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🔑 Demo Credentials

Username:

recruiter

Password:

screen2025

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📈 Project Highlights

• Supports semantic AI matching using BERT
• Uses FAISS for efficient similarity search
• ATS-style candidate evaluation
• Automated skill extraction
• Candidate ranking system
• Batch resume processing
• Exportable reports
• Cloud deployment ready

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🧪 Testing

Run tests:

pytest

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🚀 Future Roadmap

• LLM-powered resume analysis
• AI interview question generation
• Resume optimization suggestions
• Recruiter collaboration workspace
• Multi-language resume support
• Candidate recommendation engine
• HR analytics dashboard
• Applicant tracking system integration

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🎓 Skills Demonstrated

This project demonstrates practical experience in:

✅ Natural Language Processing

✅ Machine Learning

✅ Semantic Search

✅ Information Retrieval

✅ Resume Parsing

✅ Candidate Ranking Systems

✅ Streamlit Application Development

✅ Data Visualization

✅ Vector Databases (FAISS)

✅ AI Product Development

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👨‍💻 Author

Pravesh Nandanwar

Computer Science & Engineering

GitHub: https://github.com/pn-dev-in

LinkedIn: https://www.linkedin.com/in/pravesh-nandanwar/

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⭐ Support

If you found this project useful, consider giving it a star on GitHub.

Feedback, suggestions, and contributions are always welcome.