Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 728 · 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.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
2. 2.📦 Nisha collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
4. 4.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
5. 5.❌ Kabir’s bird-song app was tested on 21 new bird songs and got 12 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
7. 7.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
9. 9.❌ Rohan’s recycling sorter was tested on 25 new waste photos and got 16 right. How many did it get wrong?
10. 10.❌ Saanvi’s leaf identifier was tested on 33 new leaf photos and got 26 right. How many did it get wrong?
11. 11.🧪 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
12. 12.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
13. 13.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
15. 15.❌ Aarav’s recycling sorter was tested on 41 new waste photos and got 40 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
17. 17.❌ Saanvi’s handwriting reader was tested on 29 new handwritten letters and got 20 right. How many did it get wrong?
18. 18.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
19. 19.❌ Arjun’s handwriting reader was tested on 35 new handwritten letters and got 26 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
21. 21.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
22. 22.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
23. 23.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
24. 24.📦 Vihaan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
26. 26.🧪 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
27. 27.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
30. 30.📦 Saanvi collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 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
32. 32.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
33. 33.🎯 Meera’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
34. 34.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
35. 35.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
36. 36.🧪 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
37. 37.❌ Meera’s handwriting reader was tested on 15 new handwritten letters and got 14 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
39. 39.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 17 right. How many percentage points more accurate is Model A?
40. 40.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?

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