Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 101 · 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.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
2. 2.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
5. 5.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
6. 6.❌ Meera’s bird-song app was tested on 46 new bird songs and got 37 right. How many did it get wrong?
7. 7.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
9. 9.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
10. 10.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
11. 11.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
12. 12.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
13. 13.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
14. 14.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
15. 15.📦 Tara collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
17. 17.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
18. 18.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
20. 20.📦 Rohan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
23. 23.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
24. 24.❌ Vihaan’s leaf identifier was tested on 47 new leaf photos and got 41 right. How many did it get wrong?
25. 25.❌ Saanvi’s leaf identifier was tested on 16 new leaf photos and got 15 right. How many did it get wrong?
26. 26.❌ Ishaan’s recycling sorter was tested on 34 new waste photos and got 27 right. How many did it get wrong?
27. 27.📦 Vihaan collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
29. 29.🎯 Aarav’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
31. 31.📦 Tara collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
34. 34.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
35. 35.❌ Meera’s recycling sorter was tested on 22 new waste photos and got 16 right. How many did it get wrong?
36. 36.❌ Kabir’s spam spotter was tested on 33 new messages and got 30 right. How many did it get wrong?
37. 37.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
39. 39.❌ Vihaan’s recycling sorter was tested on 19 new waste photos and got 17 right. How many did it get wrong?
40. 40.📦 Arjun collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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