Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 190 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
2. 2.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
6. 6.📦 Diya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
8. 8.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
9. 9.📦 Tara collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
11. 11.📦 Diya collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
13. 13.📦 Diya collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
16. 16.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
17. 17.📦 Ishaan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 30 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
22. 22.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
23. 23.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
24. 24.🎯 Aarav’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
26. 26.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
27. 27.❌ Ananya’s recycling sorter was tested on 25 new waste photos and got 16 right. How many did it get wrong?
28. 28.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
29. 29.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
31. 31.🎯 Rohan’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
35. 35.❌ Vihaan’s bird-song app was tested on 22 new bird songs and got 17 right. How many did it get wrong?
36. 36.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
38. 38.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
40. 40.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?

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