Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 503 · 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 — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
3. 3.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
5. 5.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
8. 8.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
9. 9.📦 Vihaan collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
12. 12.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
13. 13.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
14. 14.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
16. 16.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
17. 17.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
18. 18.❌ Vihaan’s leaf identifier was tested on 28 new leaf photos and got 20 right. How many did it get wrong?
19. 19.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
21. 21.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
23. 23.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
24. 24.🎯 Meera’s spam spotter was tested on 20 new messages and got 10 right. What is its accuracy in percent?
25. 25.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
27. 27.❌ Kabir’s bird-song app was tested on 15 new bird songs and got 11 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
29. 29.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
30. 30.🎯 Kabir’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
31. 31.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
32. 32.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
33. 33.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
34. 34.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
37. 37.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
39. 39.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
40. 40.📦 Meera collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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