IBspace

AI-powered study tools for IB Diploma students.

Built by an IB student for IB students — currently ships a full TOK Exhibition workspace with AI-assisted justification drafting, auto-save, and prompt navigation. CAS recorder and EE assistant are in development.

Features

• TOK Exhibition workspace — browse all 35 official prompts, create objects with justifications, AI-assisted drafting
• Gemini AI integration — generates exhibition justification drafts you can edit, accept, or reject
• User accounts — Supabase auth with email login
• Payments — Paddle for subscriptions, VAT, and invoicing
• Type-safe — full TypeScript with strict mode

Stack

Layer	Tech
Framework	Next.js 16 (App Router)
Language	TypeScript (strict)
Styling	Tailwind CSS v4
Database	Supabase (Postgres)
Auth	Supabase Auth
AI	Google Gemini (gemini-2.5-flash)
Payments	Paddle (Merchant of Record)

Architecture

app/
├── api/ai/route.ts          Gemini API route (server-only, env-gated)
├── api/tok/justification/   Save/load TOK object justifications
├── dashboard/tok/           TOK Exhibition workspace
├── dashboard/tok/[id]/      Individual exhibition workspace
lib/
├── supabase-client.ts       Browser Supabase client
├── supabase-server.ts       Server Supabase client
├── ai.ts                    Vercel AI Gateway wrapper
├── tok-prompts.ts           All 35 official TOK prompts
types/                       Shared TypeScript interfaces
components/                  Navbar, Footer, CookieBanner, LogoutButton
proxy.ts                     Middleware — protects /dashboard and /profile

Setup

Requirements

• Node.js >= 18
• Supabase project (cloud-hosted)
• Google Gemini API key

1. Clone and install

git clone https://github.com/VSHT3/ibspace.git
cd ibspace
npm install

2. Supabase

1. Create a project at supabase.com
2. Copy Project URL and anon public key from Settings → API
3. Run migrations from supabase/migrations/ in order

3. Environment

cp .env.local.example .env.local
# Fill in Supabase credentials + Gemini API key + Paddle token

4. Run

npm run dev
# → http://localhost:3000