🤖 AI Context-Aware FAQ Chatbot

An AI-powered FAQ chatbot built with Python, Flask, and Natural Language Processing (NLP). The chatbot understands user questions, finds the most relevant FAQ using TF-IDF Vectorization and Cosine Similarity, and provides intelligent responses through a clean, responsive web interface.

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📌 Features

• AI-powered FAQ matching
• Natural Language Processing (NLP)
• TF-IDF Vectorizer
• Cosine Similarity search
• Conversation history
• Dark / Light mode
• Suggested questions
• Typing animation
• Responsive UI
• Clean and modern design

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🛠️ Technologies Used

• Python 3
• Flask
• HTML5
• CSS3
• JavaScript
• Scikit-learn
• NLTK

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📂 Project Structure

Task-02-AI-FAQ-Chatbot
│
├── app.py
├── chatbot.py
├── preprocess.py
├── config.py
├── faq_dataset.json
├── requirements.txt
│
├── services/
│   ├── history_service.py
│   └── nlp_service.py
│
├── history/
│   └── chat_history.json
│
├── templates/
│   └── index.html
│
├── static/
│   ├── css/
│   │   └── style.css
│   └── js/
│       └── script.js
│
└── README.md

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⚙️ Installation

Clone Repository

git clone https://github.com/yourusername/Task-02-AI-FAQ-Chatbot.git

Go to Project

cd Task-02-AI-FAQ-Chatbot

Create Virtual Environment

python -m venv .venv

Activate Environment

Windows

.venv\Scripts\activate

Linux / macOS

source .venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Run Project

python app.py

Open:

http://127.0.0.1:5000

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💬 Sample Questions

• What is Artificial Intelligence?
• Explain Machine Learning
• What is Flask?
• Explain NLP
• What is Python?
• What is Data Science?

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🚀 Future Improvements

• Voice Input
• Voice Output
• OpenAI / Gemini Integration
• Multi-language Support
• User Authentication
• Database Storage
• Chat Export
• AI Learning from New FAQs

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👨‍💻 Author

M Asim Imtiaz

BS Artificial Intelligence

AI / ML Developer

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📄 License

This project was developed for educational and internship purposes.