How limsungpyo/ai-tech-playground works
The README describes an interactive AI-learning product: users choose experiments, predict outcomes, run and inspect them, then advance through learning features. The checked-in implementation is only a starter shell: a React entry point renders a welcome page, and FastAPI exposes a health endpoint. README capabilities are shown as documented scope, not as verified implementations; no frontend-to-backend or database wiring is visible in the sampled source.
Main entry points: main.tsx React entry · App.tsx Welcome page
Components 12
Frontend shell
- React entry
frontend/src/main.tsx - Welcome page
frontend/src/App.tsx
Backend shell
- FastAPI app
backend/main.py
Documented product capabilities
- Experiment play
- WHY explanations
- Outcome prediction
- Skill progression
- Experiment recommendations
- Rankings and sharing
- Technology radar
- Admin console
Other components
- Learner
Connections 9
- React entry → Welcome page: renders
frontend/src/main.tsx - Learner → Experiment play: chooses and runs
README.md - Experiment play → Outcome prediction: compares outcome
README.md - Experiment play → WHY explanations: asks why
README.md - Experiment play → Skill progression: unlocks skills
README.md - Learner → Experiment recommendations: gets suggestions
README.md - Learner → Rankings and sharing: views and shares
README.md - Learner → Technology radar: explores trends
README.md - Learner → Admin console: administers
README.md