Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 489 · 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.📦 Aarav collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
3. 3.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
4. 4.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
5. 5.📦 Tara collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
7. 7.❌ Ishaan’s spam spotter was tested on 27 new messages and got 21 right. How many did it get wrong?
8. 8.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
9. 9.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 26 right. How many did it get wrong?
10. 10.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
11. 11.❌ Diya’s spam spotter was tested on 42 new messages and got 40 right. How many did it get wrong?
12. 12.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 39 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
14. 14.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
16. 16.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
17. 17.📦 Diya collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Ishaan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 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
20. 20.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
21. 21.🎯 Meera’s handwriting reader was tested on 25 new handwritten letters and got 19 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
23. 23.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
24. 24.❌ Vihaan’s recycling sorter was tested on 36 new waste photos and got 32 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
26. 26.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
27. 27.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
28. 28.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
29. 29.📦 Diya collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
31. 31.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
32. 32.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
33. 33.❌ Arjun’s handwriting reader was tested on 45 new handwritten letters and got 36 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
35. 35.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
36. 36.📦 Kabir collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Kabir collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
39. 39.❌ Saanvi’s fruit sorter was tested on 11 new fruit photos and got 10 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos

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