SpectrumPoint - Neurodivergent Profiling Platform

SpectrumPoint is a full stack web application currently in development that reimagines how neurodivergent traits are explored and visualized.

Instead of using binary diagnostic categories, the platform applies a dimensional scoring model across three behavioural axes inspired by Autism spectrum disorder, Attention deficit hyperactivity disorder, and Obsessive-compulsive disorder.

Users complete a weighted behavioural assessment built on a 0-4 Likert scale. Each response contributes to axis scores which are normalized and plotted inside an equilateral triangle using barycentric coordinate conversion. The result is a visual neuro profile that highlights overlapping trait patterns rather than forcing categorical labels.

Key Features in Development:

• Multi step assessment engine with weighted scoring logic
• Normalized axis scoring (0-100 scale)
• Real time triangular visualization using SVG rendering
• User authentication and saved assessment history
• Pattern based trait summaries instead of diagnostic claims
• Ethical disclaimer system to prevent misuse as medical diagnosis
• Tech Stack:
• Next.js (App Router)
• TypeScript
• Tailwind CSS
• Node.js backend
• PostgreSQL
• Prisma ORM

SpectrumPoint is designed as both a portfolio demonstration of full stack engineering and a conceptual exploration of dimensional mental health modeling. The project emphasizes accessibility, ethical design, and data visualization clarity.

Status: In Development