Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 638 · 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.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 42 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
4. 4.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
5. 5.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
6. 6.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
7. 7.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
8. 8.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
10. 10.📦 Arjun collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
12. 12.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
13. 13.🎯 Tara’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
14. 14.📦 Saanvi collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
16. 16.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
17. 17.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
20. 20.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
21. 21.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
22. 22.❌ Meera’s fruit sorter was tested on 39 new fruit photos and got 35 right. How many did it get wrong?
23. 23.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
26. 26.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
28. 28.📋 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
29. 29.📦 Arjun collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
31. 31.❌ Vihaan’s fruit sorter was tested on 46 new fruit photos and got 45 right. How many did it get wrong?
32. 32.📦 Meera collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 39 right and Model B got 31 right. How many percentage points more accurate is Model A?
34. 34.🎯 Rohan’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
35. 35.📦 Ananya collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Ananya’s bird-song app was tested on 31 new bird songs and got 24 right. How many did it get wrong?
37. 37.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 20 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
39. 39.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
40. 40.❌ Aarav’s spam spotter was tested on 37 new messages and got 30 right. How many did it get wrong?

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