Medical_Q-A_Chatbot

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Medical_Q-A_Chatbot

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Medical Q&A Chatbot is a lightweight, Streamlit-based application that answers user medical queries by matching keywords against a curated dataset (fixed_qa_dataset.json) sourced from MedQuAD (U.S. National Library of Medicine). It retrieves and displays relevant answers with source links, offering fast and accessible medical information.

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# Medical_Q&A_Chatbot
Medical Q&amp;A Chatbot is a lightweight, Streamlit-based application that answers user medical queries by matching keywords against a curated dataset (fixed_qa_dataset.json) sourced from MedQuAD (U.S. National Library of Medicine). It retrieves and displays relevant answers with source links, offering fast and accessible medical information.

# 🩺 Medical Q&A Chatbot

**Medical Q&A Chatbot** is a lightweight, keyword-based question answering system built with Streamlit. It helps users get relevant answers to medical queries using the MedQuAD dataset curated by the U.S. National Library of Medicine.

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## 📌 Description

This chatbot takes user medical questions as input and searches for relevant answers by matching keywords from a structured JSON dataset. It retrieves the top 3 most relevant Q&A pairs and displays official source links, if available.

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## 🚀 Features

- 🔍 Keyword-based search from the MedQuAD dataset
- ✅ Displays top 3 most relevant Q&A pairs
- 🔗 Includes official medical source links (if available)
- ⚡ Lightweight, fast, and easy to use
- 📁 Based on `fixed_qa_dataset.json`

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## 🛠️ Tech Stack

- Python
- Streamlit (Web App Interface)
- JSON (MedQuAD dataset)

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## 📂 File Structure

├── Medical_Q&A_Chatbot.py      # Main Streamlit application  
├── fixed_qa_dataset.json       # Cleaned MedQuAD data (Q&A)  
├── requirements.txt            # Dependencies  
└── README.md                   # Project documentation

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