Cybersecurity AI Mentor: Learn Security with AI + RAG

Overview

Cybersecurity AI Mentor is a full-stack learning assistant that helps users master cybersecurity concepts through interactive chat, document-grounded answers, and adaptive explanations.
It leverages Retrieval-Augmented Generation (RAG) to ensure every answer is based on trusted sources like NIST and OWASP, not just generic LLM output.

Why I Built This

Learning cybersecurity is tough—resources are scattered, and generic AI answers can be unreliable.
I built this project to:

• Provide a single, interactive place to learn and ask questions,
• Guarantee answers are grounded in real security docs,
• Make it easy to deploy and scale with Docker and cloud platforms.

Key Features

• AI Chat Tutor with RAG: Answers are always sourced from curated security documents (OWASP, NIST, etc.).
• Adaptive Explanations: User can select beginner, intermediate, or expert mode for tailored responses.
• Streaming UI: Fast, real-time chat experience with Chainlit.
• Cloud-Ready: Deployable to Hugging Face Spaces, Render, GCP, or DigitalOcean with Docker.
• Custom Branding: Supports custom logos, avatars, and UI theming.

Tech Stack

• Frontend/UI: Chainlit (Python, React-based)
• Backend/AI: LlamaIndex (RAG), Groq LLM API
• Deployment: Docker, Hugging Face Spaces
• Docs: NIST, OWASP, and custom lab content

Future Plans

• Add user authentication and progress tracking
• Expand document set and add scenario-based labs
• Integrate more LLM providers and advanced RAG features