Neurocademy

Inspired by my son’s ADHD diagnosis, Neurocademy creates short, relevant, AI-powered learning activities tailored to neurodivergent children — helping them stay engaged and thrive academically.

Comment

🎯 Inspiration

Neurocademy was inspired by my son, who was diagnosed with ADHD last year. He is high-functioning but needs short, relevant, mood-sensitive activities to stay engaged and succeed academically. Traditional learning platforms often assume long attention spans and static objectives — Neurocademy is designed to adapt, respond, and celebrate progress in small, meaningful steps.

💡 What it does

Neurocademy is an AI-powered learning platform for neurodivergent children (ages 5–11). It enables parents or teachers to:

  • Upload an IEP (Individual Education Plan) to extract learning targets
  • Generate short, goal-driven activities using AI (Requesty.ai)
  • Tailor activities based on mood (calm, tired, hyper) and attention span
  • Deliver low-cognitive-load tasks with gentle, gamified feedback
  • Track completed goals, rewards, and progress

🔧 How we built it

  • Frontend: Built in Bolt.new using TypeScript and React
  • AI Engine: Powered by a custom system prompt calling Requesty.ai
  • Data: Supabase used for storing user data, IEP goals, session logs, and rewards
  • Prompts: Modular JSON-based design with type-safe outputs
  • Design: Neuroinclusive UX principles (low stimulation, high clarity, positive feedback)
  • Activities: Rendered from AI-generated JSON via a reusable ActivityRenderer component

🚧 Challenges we ran into

  • Prompt chaining limitations within Bolt.new (especially multi-step workflows)
  • Handling PDF parsing for IEPs (required pre-processing outside Bolt)
  • Adapting AI output reliably to meet a strict JSON schema
  • Balancing accessibility and engagement (especially for children with sensory sensitivities)

🏆 Accomplishments that we're proud of

  • Designed a full end-to-end AI-assisted learning workflow in under a week
  • Successfully extracted learning goals from a real IEP and generated meaningful content
  • Created a modular structure that can scale to mobile (React Native)
  • Delivered a calm, child-friendly UX with minimal screen complexity
  • Generated real-time activities with mood and reward logic

📚 What we learned

  • Structured prompts are essential when targeting neurodivergent learners
  • Personalisation through IEPs makes AI feel purposeful — not generic
  • Mood-aware design can reduce friction and improve outcomes
  • Bolt.new is a powerful playground for building focused AI tools quickly

🚀 What's next for Neurocademy

  • Build a full mobile version using React Native and Expo
  • Add child profile switching and adaptive goal tracking
  • Train a local LLM with curriculum + IEP mappings
  • Add printable packs and offline-friendly experiences
  • Expand reward system with avatars, XP, and visual streak tracking
  • Partner with schools to align content to individual learning plans at scale
user: test@hackathon.test
pw: Hackathon2025

Built With

Share this project:

Updates