AI Project
N3XU$ Identity Protocol
An identity-based academic intelligence platform that shifts focus from grades to becoming an engineer. Inspired by Atomic Habits, built specifically for UofT ECE.
Next.js 15 · FastAPI · Gemini 2.0 Flash · PostgreSQL · Supabase
GitHub01 / Overview
An identity-based academic intelligence platform that shifts focus from grades to becoming an engineer. Inspired by Atomic Habits, N3XU$ treats academic data as signal — not noise.
Built specifically around the University of Toronto ECE curriculum, N3XU$ translates complex syllabi and grades into a “Resonance” metric, ensuring students stay in-phase with their long-term goals.
Under the hood: a multi-modal PDF-to-JSON “Neural Audit” engine on Gemini 2.0 Flash, a Supabase SSR identity vault managed with Drizzle ORM, and a real-time Recharts performance dashboard over a FastAPI backend.
02 / Demo
03 / Key Features
Neural Audits
Decomposes unstructured PDF syllabi into a structured Neural Roadmap with marking schemes and milestones using Gemini 2.0.
Resonance Monitoring
Calculates a Required Grade based on a Target GPA to show if current performance is 'in phase' with long-term goals.
Telemetry Auditing
AI-driven feedback on technical submissions that detects anomalies like KCL sign errors or incorrect diode models.
Identity Mapping
Assigns evolving academic personas based on technical telemetry, shifting focus from grades to becoming an engineer.