🧠 T5 Question Answering Web App

A full-stack web application that uses a pretrained T5 model. The T5 model has been fine-tuned using my dataset(disease related questions and answer). The project combines Node.js + Express (backend), Python (for model inference), and a clean HTML/CSS/JavaScript frontend.

This project demonstrates how to integrate a machine learning model into a web app.

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✨ Features

• 🌐 Web-based interface to ask natural language questions
• 🧩 Backend communicates with a Python script running HuggingFace’s T5 model
• 🎨 Clean and lightweight frontend built with HTML, CSS, JavaScript

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🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Node.js, Express
• Machine Learning: Python, HuggingFace Transformers etc

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🖼️ Interface Preview

🏠 Home Page

💬 Question & Answer Result

💬 Question & Answer Result