Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 713 · 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 — gather many examples or label each example? (a) gather many examples (b) label each example
2. 2.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
3. 3.📦 Kabir collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
6. 6.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
7. 7.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
8. 8.📦 Kabir collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
11. 11.📦 Aarav collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
13. 13.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
14. 14.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
15. 15.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
16. 16.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
17. 17.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
18. 18.⚖️ 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?
19. 19.❌ Vihaan’s leaf identifier was tested on 45 new leaf photos and got 43 right. How many did it get wrong?
20. 20.❌ Tara’s recycling sorter was tested on 43 new waste photos and got 40 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
22. 22.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
23. 23.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
24. 24.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
26. 26.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
27. 27.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
28. 28.📦 Tara collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
30. 30.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 25 right. What is its accuracy in percent?
31. 31.❌ Aarav’s fruit sorter was tested on 21 new fruit photos and got 12 right. How many did it get wrong?
32. 32.📦 Aarav collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
34. 34.❌ Aarav’s handwriting reader was tested on 18 new handwritten letters and got 12 right. How many did it get wrong?
35. 35.❌ Rohan’s fruit sorter was tested on 50 new fruit photos and got 44 right. How many did it get wrong?
36. 36.📋 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
37. 37.📋 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
38. 38.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
39. 39.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
40. 40.❌ Meera’s fruit sorter was tested on 34 new fruit photos and got 25 right. How many did it get wrong?

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