Directly prepares students for CBSE AI subject code 417 in Class 9. AIKO is an independent platform.
The AI project cycle
Aanya and Vihaan reach a new challenge: "The AI project cycle". Think about crop-health app.
Pixel beeps: "Don't just read about it — let's learn by DOING. Try the demo below! "
Five stages. Every AI project moves through Problem Scoping → Data Acquisition → Data Exploration → Modelling → Evaluation. This is the exact frame CBSE AI 417 uses, so learning it now gives you a head start.
Why a cycle, not a line. After evaluation you often loop back, fix the data or model, and try again. Good AI is built by repeating, not in one shot.
Scope: detect leaf disease. Acquire: collect leaf photos. Explore: check them. Model: train a classifier. Evaluate: test accuracy — then loop back if poor.
Tap an example, then tap the box where it belongs: did the AI LEARN it, or is it a FIXED rule?
The first stage of the AI cycle is…
- Five stages
- Why a cycle, not a line
Finish the demo and practice above to continue.