🧠 AI Resume Chatbot (RAG-based)

An AI-powered Resume Question–Answering Chatbot built using Retrieval-Augmented Generation (RAG).
This application allows users or recruiters to ask natural language questions about a resume PDF and receive accurate, contextual answers in real time.

• 📄 PDF resume ingestion
• ✂️ Intelligent text chunking
• 🔍 Semantic search using FAISS
• 🧠 Context-aware answers using LLM
• ⚡ Fast responses (~1–2 seconds)
• 💻 Works on CPU-only systems (8 GB RAM)
• 🌐 Simple and interactive Streamlit UI

1. Document Loader – Loads resume PDF
2. Text Splitter – Splits content into overlapping chunks
3. Embedding Model – HuggingFace all-MiniLM-L6-v2
4. Vector Store – FAISS for similarity search
5. LLM – LLaMA-3.1 via Groq API
6. Frontend – Streamlit web interface

• Programming Language: Python
• Framework: LangChain
• LLM: LLaMA-3.1 (Groq API)
• Embeddings: HuggingFace Sentence Transformers
• Vector Database: FAISS
• Frontend: Streamlit

pip install langchain langchain-core langchain-community langchain-groq faiss-cpu sentence-transformers streamlit