Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 99 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
2. 2.📦 Arjun collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
4. 4.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
5. 5.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
7. 7.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
8. 8.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
10. 10.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
13. 13.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
14. 14.❌ Kabir’s spam spotter was tested on 36 new messages and got 33 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
16. 16.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
17. 17.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
19. 19.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
21. 21.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
22. 22.❌ Vihaan’s handwriting reader was tested on 46 new handwritten letters and got 40 right. How many did it get wrong?
23. 23.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
24. 24.🎯 Vihaan’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
26. 26.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
27. 27.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
29. 29.❌ Diya’s fruit sorter was tested on 40 new fruit photos and got 33 right. How many did it get wrong?
30. 30.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
31. 31.❌ Saanvi’s recycling sorter was tested on 47 new waste photos and got 38 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
33. 33.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
34. 34.📦 Arjun collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
36. 36.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
38. 38.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
40. 40.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?

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