🤖 FAQ Chatbot — CodeAlpha AI Internship

A professional FAQ Chatbot built with Python and Streamlit, powered by TF-IDF Vectorisation and Cosine Similarity for intelligent question matching.

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✨ Features

Feature	Details
💬 Chat Interface	ChatGPT-style dark-themed UI
📚 FAQ Dataset	25 curated AI / ML / Python FAQs
🧠 Algorithm	TF-IDF + Cosine Similarity
📊 Confidence Score	Visual confidence bar per answer
🕑 Chat History	Full session history with timestamps
⬇️ Download	Export chat history as CSV
📋 Sidebar	Live stats and project information
⚠️ Error Handling	Graceful fallback for unmatched queries

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🛠️ Tech Stack

• Python 3.9+
• Streamlit — web app framework
• Scikit-learn — TF-IDF vectoriser & cosine similarity
• Pandas — data export
• NumPy — numerical operations

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⚡ Quick Start

1. Clone / Download the project

git clone https://github.com/yourusername/faq-chatbot.git
cd faq-chatbot

2. Create a virtual environment (recommended)

# Windows
python -m venv venv
venv\Scripts\activate

# macOS / Linux
python3 -m venv venv
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Run the app

streamlit run app.py

The app opens automatically at http://localhost:8501

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📁 Project Structure

faq-chatbot/
├── app.py              # Main Streamlit application
├── requirements.txt    # Python dependencies
├── README.md           # This file
└── Project_Report.md   # Detailed project report

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🔧 How It Works

User Question
      │
      ▼
TF-IDF Vectorisation   ←── FAQ Questions (pre-vectorised at startup)
      │
      ▼
Cosine Similarity Computation
      │
      ▼
Best Match (score ≥ threshold) ──► Return Answer + Confidence
      │
      ▼ (score < threshold)
Fallback "No match" message

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🧪 Sample Questions to Try

• What is artificial intelligence?
• How does TF-IDF work?
• What is cosine similarity?
• How do I run a Streamlit app?
• What is overfitting?
• What is CodeAlpha?

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📜 License

This project is submitted as part of the CodeAlpha AI Internship program.
Free to use for educational purposes.