🤖 Fuze Chatbot

Fuze is a modern AI-powered chatbot built using PyTorch, Django, and a custom-trained intent classification model. It also integrates external APIs like Wikipedia to respond intelligently to user queries.

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🌟 Features

• 💬 Intent-based NLP chatbot with PyTorch
• 📚 Wikipedia integration (via wikipedia Python package)
• 🔥 Django backend + AJAX-based chat
• 🎓 Trained on custom intents.json
• 🎯 100% accuracy on training dataset

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🧠 Tech Stack

Layer	Tech
Backend	Django, PyTorch
Frontend	HTML, CSS, jQuery (AJAX)
NLP Tools	NLTK, NumPy, Wikipedia API

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📁 Project Structure

chatbot/ ├── chat/ # Django app │ ├── templates/ # chat.html frontend │ ├── static/ # CSS and assets │ ├── model.py # PyTorch NeuralNet class │ ├── nltk_utils.py # Tokenization & bag-of-words │ ├── train.py # Model training script │ ├── views.py # Core chatbot logic │ ├── intents.json # Dataset for training │ └── data.pth # Trained model ├── chatbot/ # Django project settings ├── manage.py └── README.md

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🚀 Getting Started

1. Clone the repository

git clone https://github.com/your-username/chatbot.git
cd chatbot

2.Create and activate virtual environment

python -m venv env source env/bin/activate # macOS/Linux env\Scripts\activate.bat # Windows

3.Install dependencies

pip install -r requirements.txt

4.Train

cd chat
python train.py

#This will generate data.pth — the trained model saved to disk.

5.Run the server

cd chatbot
python manage.py runserver