🤖 TrustBot – A Secure AI Chatbot Web Application

TrustBot is a secure, user-friendly web application that integrates modern authentication mechanisms and AI chatbot capabilities using the Hugging Face mistralai/Mixtral-8x7B-Instruct-v0.1 model. It combines Flask, SQLAlchemy, and PyOTP for building a full-stack intelligent system with Two-Factor Authentication (2FA) and a clean, interactive UI.

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🔐 Key Features

✅ User Authentication

• Secure User Registration and Login
• Password hashing with Werkzeug for secure storage
• Login validations and CSRF protection

🔒 Two-Factor Authentication (2FA)

• PyOTP-based Time-Based One-Time Passwords
• QR Code generation using qrcode and pyotp
• Users are prompted to enter a TOTP after login

🤖 AI-Powered Chatbot

• Integrated with Hugging Face's Mixtral-8x7B-Instruct-v0.1
• Handles conversational input dynamically via AJAX
• Display chat history between user and TrustBot

🧠 Hugging Face Integration

• Uses InferenceClient for real-time responses
• Token-based secure API communication

📋 Dashboard

• Clean and intuitive UI using Bootstrap
• Users see welcome messages and chatbot interface after successful login

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🛠️ Tech Stack

Layer	Technology Used
Backend	Flask, SQLAlchemy
Frontend	HTML5, Bootstrap, JavaScript (AJAX)
Authentication	Werkzeug, PyOTP, qrcode
AI/ML	Hugging Face mistralai/Mixtral
Database	SQLite (for development)

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📁 Project Structure

TrustBot/
├── 🐍 app.py                 
├── 🗃️ models.py              
├── ⚙️ config.py               
├── 🛢️ init_db.py             
│
├── 📂 templates/              # Frontend templates
│   ├── 🔑 login.html          
│   ├── ✏️ register.html       
│   └── 🖥️ dashboard.html      
│
├── 📂 static/                 # Static assets
│   └── 🎨 style.css           
│
├── 📜 requirements.txt        # Python dependencies
└── 📖 README.md               

🚀 How to Run Locally

1. Clone the repository:

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

2. Set up a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Create a .env file:

   FLASK_APP=app.py
   FLASK_ENV=development
   SECRET_KEY=your_secret_key
   HUGGINGFACE_TOKEN=your_huggingface_api_token

5. Initialize the database:

   python init_db.py

6. Run the app:

   flask run

Visit http://127.0.0.1:5000 in your browser to use TrustBot!

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📌 Future Enhancements

• Dockerization for portability
• Role-based user access control
• HTTPS with Let's Encrypt
• MongoDB/PostgreSQL migration
• Integration with voice AI assistants

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📧 Contact

For questions, issues, or contributions:

Author: M Uzai Farooq
Email: m.uzair.farooq.514@gmail.com

Built with ❤️ for Secure Conversational AI!