Cybercoach: Learn cybersecurity with AI + proctored assessments

Overview

Cybercoach is a full-stack cybersecurity learning platform designed to help learners build real skills through structured content, adaptive guidance, and secure assessments.
It combines an AI tutor powered by Retrieval-Augmented Generation (RAG) with a proctored testing experience, so learning stays practical, measurable, and trustworthy.

Why We Built This

Cybersecurity learners often face two problems:

1. content that’s scattered and hard to follow, and
2. assessments that don’t reliably validate real understanding.

We built Cybercoach to deliver a single experience where users can:

• learn in a structured way,
• ask questions with answers grounded in credible sources,
• and validate skills through proctored assessments that reduce cheating.

Key Features

• AI Tutor with RAG: Answers grounded in curated security references (e.g., OWASP, NIST-style documents) instead of generic responses.
• Proctored Assessments: Camera/microphone-enabled monitoring with basic exam integrity controls.
• Adaptive Learning Path: Learner progression informs recommendations and next steps.
• Practice + Progress Tracking: Track completion, performance, and skill level across modules.
• Career Support: Job-focused learning signals and student tooling aligned with outcomes.

Tech Stack

• Frontend: React + TypeScript + TailwindCSS
• Backend: Node.js + Express (TypeScript)
• Database/Auth: Supabase
• AI Layer: RAG over security documents + LLM (Gemini)
• Media/Proctoring: Browser media APIs for webcam/mic permissions and monitoring workflow

Future Plans

• Add deeper analytics for learner strengths and weaknesses
• Expand question banks and scenario-based labs
• Our own CMD