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This project is a dynamic, subject-based Question-Answering System built using LangChain, HuggingFace Transformers, and Streamlit. It allows users to ask questions from various subjects—Science, English, Maths, and Social Science—and receive intelligent, well-structured answers generated by a powerful Large Language Model (LLM).

huggingface.co/

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🧠 Question Answering System using LLMs

This is a dynamic subject-based question answering system built with:

🤖 HuggingFace Mixtral-8x7B
🔗 LangChain
🌐 Streamlit

🔧 Features

Subject selection: Science, Math, English, etc.
Custom explanation level (Beginner/Intermediate/Advanced)
Adjustable explanation length (short/medium/long)
Rich prompts including analogies & math equations

🚀 Getting Started

Clone the repo
Create a .env file with your HuggingFace API token
Run streamlit run app.py

🛠 Tech Stack

LangChain
HuggingFace Hub
Streamlit
Python

🧑‍💻 Author

Vaishnavi Barolia

About

This project is a dynamic, subject-based Question-Answering System built using LangChain, HuggingFace Transformers, and Streamlit. It allows users to ask questions from various subjects—Science, English, Maths, and Social Science—and receive intelligent, well-structured answers generated by a powerful Large Language Model (LLM).

huggingface.co/

huggingface llm langchain langchain-python

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