Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 457 · 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.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
2. 2.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
3. 3.🎯 Meera’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
5. 5.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
7. 7.❌ Diya’s bird-song app was tested on 32 new bird songs and got 28 right. How many did it get wrong?
8. 8.❌ Kabir’s bird-song app was tested on 24 new bird songs and got 18 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
10. 10.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
11. 11.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
12. 12.❌ Saanvi’s leaf identifier was tested on 17 new leaf photos and got 11 right. How many did it get wrong?
13. 13.❌ Tara’s handwriting reader was tested on 43 new handwritten letters and got 37 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
15. 15.❌ Diya’s handwriting reader was tested on 18 new handwritten letters and got 10 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
17. 17.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
18. 18.❌ Aarav’s recycling sorter was tested on 38 new waste photos and got 31 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
20. 20.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
21. 21.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
22. 22.📦 Saanvi collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.❌ Ananya’s recycling sorter was tested on 16 new waste photos and got 12 right. How many did it get wrong?
24. 24.📦 Ananya collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
26. 26.❌ Ananya’s bird-song app was tested on 25 new bird songs and got 20 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
28. 28.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
29. 29.❌ Kabir’s recycling sorter was tested on 26 new waste photos and got 22 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
31. 31.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
33. 33.📦 Aarav collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
36. 36.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
37. 37.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
39. 39.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
40. 40.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?

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