Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 36 · 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 — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
2. 2.❌ Tara’s handwriting reader was tested on 33 new handwritten letters and got 25 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
4. 4.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
5. 5.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
6. 6.📋 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
7. 7.❌ Arjun’s bird-song app was tested on 16 new bird songs and got 15 right. How many did it get wrong?
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
9. 9.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
10. 10.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
12. 12.📦 Vihaan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
15. 15.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
16. 16.📦 Meera collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Saanvi’s recycling sorter was tested on 32 new waste photos and got 30 right. How many did it get wrong?
18. 18.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
19. 19.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
21. 21.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 50 new fruit photos, how many should it get right?
22. 22.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
25. 25.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
26. 26.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
28. 28.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
29. 29.❌ Ananya’s leaf identifier was tested on 44 new leaf photos and got 39 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
31. 31.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
32. 32.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
34. 34.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
36. 36.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
37. 37.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
39. 39.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
40. 40.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?

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