tatvamindlabs/ai-career-engine

🧠 TatvaMind AI Career Engine

AI-Powered Resume Analysis using RAG + LLMs

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🔬 Overview

TatvaMind AI Career Engine is a production-oriented AI system that analyzes resumes against job descriptions using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).

The system provides:

• 📊 Match Score
• ❌ Missing Skills
• 💡 Actionable Suggestions

Built under TatvaMind Intelligence Lab, this project focuses on combining semantic retrieval with intelligent reasoning.

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⚙️ How It Works

The system follows a structured pipeline:

flowchart LR
    A[Resume] --> C[Parsing]
    B[Job Description] --> C
    C --> D[Chunking]
    D --> E[Embeddings]
    E --> F[ChromaDB]
    F --> G[Retrieval]
    G --> H[LLM]
    H --> I[Scoring]
    I --> J[Output]

The pipeline ensures that the LLM receives relevant context, improving accuracy and reliability.

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🧠 Key Components

🔹 RAG Pipeline

• Context-aware retrieval
• Semantic matching
• Improved LLM reasoning

🔹 Embeddings + Vector DB

• ChromaDB for storage
• Efficient similarity search

🔹 Scoring Engine

• Keyword matching
• Semantic similarity
• Section-wise evaluation

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🧩 Tech Stack

• Backend: FastAPI
• Frontend: Next.js
• Vector DB: ChromaDB
• AI: LLM APIs + Embeddings

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🚀 Features

• Resume parsing (PDF/DOCX)
• Semantic job matching
• Intelligent scoring
• Context-aware suggestions

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📂 Project Structure

backend/
frontend/
deployment/

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🔗 Links

• 🌐 Website: [Add Link]
• 💻 GitHub: [Add Link]
• 📝 Article: [Add Link]

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👤 Author

Nikhil Ranjan
Founder, TatvaMind Intelligence Lab

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📌 Note

This project represents ongoing work in applied AI systems and RAG-based architectures.