Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 459 · 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.❌ Diya’s recycling sorter was tested on 46 new waste photos and got 39 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
3. 3.📋 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
4. 4.📦 Ananya collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
7. 7.📋 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
8. 8.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 33 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
10. 10.❌ Tara’s handwriting reader was tested on 30 new handwritten letters and got 22 right. How many did it get wrong?
11. 11.📦 Saanvi collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.❌ Kabir’s fruit sorter was tested on 44 new fruit photos and got 37 right. How many did it get wrong?
13. 13.🧪 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
14. 14.📋 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
15. 15.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 34 right and Model B got 26 right. How many percentage points more accurate is Model A?
16. 16.❌ Nisha’s recycling sorter was tested on 27 new waste photos and got 22 right. How many did it get wrong?
17. 17.🧪 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
18. 18.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
19. 19.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
20. 20.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
21. 21.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
22. 22.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 60 new waste photos, how many should it get right?
23. 23.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
26. 26.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
27. 27.📦 Rohan collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
29. 29.🎯 Rohan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
30. 30.📦 Aarav collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
32. 32.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
33. 33.📋 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
34. 34.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
35. 35.📋 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
36. 36.📦 Ananya collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Vihaan’s fruit sorter was tested on 20 new fruit photos and got 13 right. How many did it get wrong?
38. 38.📦 Diya collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
40. 40.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?

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