FAQ_CHATBOT

This is an intelligent FAQ chatbot built using Python, Flask, and deep learning that answers frequently asked questions related to a college environment (admissions, academics, events, etc.). The chatbot is trained on a custom dataset and responds in real-time through a web interface.

🚀 Features

• Real-time automated responses to FAQs
• Deep learning-based text classification (Keras)
• NLP-based input cleaning and understanding
• Dynamic response selection from CSV
• Lightweight Flask-based web interface
• Easily extendable and customizable dataset
• Works offline (local model and tokenizer)

🛠️ Technologies Used

• Python
• Flask
• TensorFlow / Keras
• NLTK
• Pandas
• NumPy
• Joblib
• HTML

🧠 How It Works

1. User submits a question via the web interface.
2. The input is cleaned using NLP (tokenization, lemmatization, etc.).
3. The cleaned text is converted to sequences using a saved tokenizer.
4. The sequence is fed to the trained Keras model for classification.
5. Based on the predicted label, a random response is fetched from response.csv.
6. The chatbot returns the selected response in real time.

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📝 Setup Instructions

1. Clone the repository:

   git clone https://github.com/yourusername/FAQ-Chatbot.git
   cd FAQ-Chatbot

2. Install dependencies:

pip install -r requirements.txt

3.Download NLTK data (one-time setup):

import nltk
nltk.download('wordnet')

4.Run the app:

python app.py

5.Open in browser:

http://127.0.0.1:5000/