securityChatbot / README.md
AI Assistant
feat: add support for Gemini API and implement state management for quiz turns and answers
b85377a
|
Raw History Blame Contribute Delete
2.66 kB
---
title: SecurityChatbot
emoji: πŸ“š
colorFrom: gray
colorTo: pink
sdk: docker
pinned: false
---
# Security Awareness Chatbot πŸ”πŸ€–
A modular, AI-powered backend that simulates social engineering attacks and provides interactive quizzes to train users on cybersecurity best practicesβ€”all in a friendly **Egyptian Arabic** persona!
## 🌟 What Does This Bot Offer?
1. **πŸ›‘οΈ Interactive Security Assistant**
Talk to a cybersecurity expert AI. Ask any question about digital safety, and get answers in simple, casual Egyptian Arabic.
2. **πŸ•΅οΈβ€β™‚οΈ Social Engineering Simulation (Roleplay)**
Users can type `/train` to enter a simulated attack scenario.
- **Scenarios:** Bank employee, Delivery Courier, IT Support, WhatsApp Support, Lottery.
- **Difficulty Levels:** Easy, Medium, Hard (ranging from obvious to highly manipulative).
- **Mechanism:** The AI plays the attacker, trying to extract sensitive info. A separate AI (Evaluator) acts as a referee to catch if the user leaks data or successfully defends themselves for 4 turns.
3. **πŸ“ Dynamic Cybersecurity Quizzes**
Users can choose the Quiz mode to get a dynamically generated Multiple Choice Question (MCQ) about cybersecurity topics. The bot evaluates their answer and provides a friendly explanation.
4. **⚑ High Reliability (Fallback Logic)**
Powered by OpenAI (GPT-4o-mini) and Groq (Llama-3), with built-in automatic fallback to Google Gemini (1.5-flash) if the primary models experience downtime.
---
## πŸ“ Project Structure
```
securityChatbot/
β”œβ”€β”€ app/
β”‚ β”œβ”€β”€ __init__.py
β”‚ β”œβ”€β”€ main.py
β”‚ β”œβ”€β”€ core/
β”‚ β”‚ β”œβ”€β”€ __init__.py
β”‚ β”‚ β”œβ”€β”€ config.py
β”‚ β”‚ └── prompts.py
β”‚ β”œβ”€β”€ models/
β”‚ β”‚ β”œβ”€β”€ __init__.py
β”‚ β”‚ └── schemas.py
β”‚ β”œβ”€β”€ routers/
β”‚ β”‚ β”œβ”€β”€ __init__.py
β”‚ β”‚ └── webhook.py
β”‚ └── services/
β”‚ β”œβ”€β”€ __init__.py
β”‚ β”œβ”€β”€ llm_service.py
β”‚ └── state_manager.py
β”œβ”€β”€ Dockerfile
β”œβ”€β”€ .dockerignore
β”œβ”€β”€ pyproject.toml
└── README.md
```
## Setup & Run Locally
```bash
uv sync
uv run uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
```
## API Endpoints
| Method | Path | Description |
|--------|------------|------------------------------|
| GET | `/` | Health check |
| POST | `/webhook` | Main chat endpoint |
### Webhook Payload
```json
{
"user_id": "user123",
"message": "Hello"
}
```
### Commands
- `/train` β€” Start the social engineering simulation