Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 596 · 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 collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
3. 3.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
4. 4.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
6. 6.📋 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
7. 7.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 36 right. What is its accuracy in percent?
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
10. 10.📦 Diya collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
13. 13.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
14. 14.🎯 Saanvi’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
15. 15.❌ Kabir’s leaf identifier was tested on 46 new leaf photos and got 43 right. How many did it get wrong?
16. 16.❌ Arjun’s recycling sorter was tested on 48 new waste photos and got 41 right. How many did it get wrong?
17. 17.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
18. 18.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
19. 19.❌ Saanvi’s leaf identifier was tested on 30 new leaf photos and got 23 right. How many did it get wrong?
20. 20.🎯 Aarav’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
21. 21.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
23. 23.❌ Vihaan’s fruit sorter was tested on 13 new fruit photos and got 10 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
25. 25.❌ Aarav’s fruit sorter was tested on 28 new fruit photos and got 21 right. How many did it get wrong?
26. 26.📦 Aarav collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
28. 28.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
29. 29.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
30. 30.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
31. 31.❌ Vihaan’s leaf identifier was tested on 49 new leaf photos and got 48 right. How many did it get wrong?
32. 32.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
34. 34.🎯 Ishaan’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
35. 35.🎯 Kabir’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
36. 36.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
37. 37.📦 Ishaan collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
40. 40.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test

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