Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 244 · 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.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
2. 2.📦 Ananya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
4. 4.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
5. 5.❌ Kabir’s handwriting reader was tested on 15 new handwritten letters and got 13 right. How many did it get wrong?
6. 6.❌ Ananya’s leaf identifier was tested on 18 new leaf photos and got 17 right. How many did it get wrong?
7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
8. 8.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
9. 9.📦 Aarav collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
11. 11.📦 Vihaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
13. 13.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?
14. 14.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
15. 15.📦 Diya collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.❌ Diya’s fruit sorter was tested on 27 new fruit photos and got 18 right. How many did it get wrong?
17. 17.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
18. 18.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
19. 19.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
20. 20.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
21. 21.❌ Ananya’s spam spotter was tested on 15 new messages and got 10 right. How many did it get wrong?
22. 22.🎯 Kabir’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
23. 23.📦 Arjun collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
25. 25.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
27. 27.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
28. 28.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
30. 30.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
31. 31.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
32. 32.📦 Kabir collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
35. 35.❌ Vihaan’s leaf identifier was tested on 25 new leaf photos and got 17 right. How many did it get wrong?
36. 36.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
37. 37.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
39. 39.❌ Tara’s handwriting reader was tested on 28 new handwritten letters and got 20 right. How many did it get wrong?
40. 40.❌ Diya’s spam spotter was tested on 14 new messages and got 11 right. How many did it get wrong?

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