title	Flykite Airlines HR Policy Bot
emoji	✈️
colorFrom	blue
colorTo	indigo
sdk	gradio
sdk_version	6.12.0
app_file	app.py
pinned	false
license	mit

✈️ Flykite Airlines HR Policy Q&A Bot

A RAG-powered HR assistant that answers employee questions from the Flykite Airlines HR handbook using Groq (LLaMA 3 70B), FAISS, and Gradio.

How it works

1. PDF ingestion — The Flykite Airlines HR handbook is loaded and split into chunks
2. Embeddings — all-MiniLM-L6-v2 (sentence-transformers) encodes chunks into a FAISS vector index
3. Retrieval — Semantic search fetches the top 4 most relevant policy sections per query
4. Generation — Groq's LLaMA 3 70B generates grounded, cited answers

Setup (local)

git clone https://github.com/ananttripathi/Airline-QnA-Bot.git
cd Airline-QnA-Bot
pip install -r requirements.txt
export GROQ_API_KEY=your_key_here
python app.py

Deploy to Hugging Face Spaces

1. Create a new Space (SDK: Gradio)
2. Push this repo to the Space
3. Add GROQ_API_KEY as a Space secret under Settings → Variables and secrets

Stack

Component	Technology
LLM	Groq — LLaMA 3 70B (free)
Embeddings	sentence-transformers/all-MiniLM-L6-v2
Vector DB	FAISS (CPU)
Framework	LangChain 0.3
UI	Gradio 4.x

Project Structure

Airline-QnA-Bot/
├── app.py                              # Main app — RAG pipeline + Gradio UI
├── requirements.txt
├── Dataset - Flykite Airlines_ HRP.pdf # Knowledge source
└── README.md

License

MIT