Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 124 · 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 collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
3. 3.❌ Ananya’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
5. 5.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
6. 6.❌ Diya’s fruit sorter was tested on 15 new fruit photos and got 12 right. How many did it get wrong?
7. 7.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
9. 9.📦 Vihaan collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
11. 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
12. 12.❌ Aarav’s bird-song app was tested on 24 new bird songs and got 22 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
14. 14.📋 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
15. 15.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
17. 17.❌ Meera’s bird-song app was tested on 22 new bird songs and got 17 right. How many did it get wrong?
18. 18.❌ Rohan’s fruit sorter was tested on 14 new fruit photos and got 12 right. How many did it get wrong?
19. 19.📦 Ananya collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.❌ Rohan’s handwriting reader was tested on 24 new handwritten letters and got 23 right. How many did it get wrong?
21. 21.📦 Nisha collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
23. 23.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
24. 24.📋 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
25. 25.❌ Rohan’s fruit sorter was tested on 35 new fruit photos and got 30 right. How many did it get wrong?
26. 26.📦 Diya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
28. 28.📦 Kabir collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Aarav collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
31. 31.🎯 Nisha’s handwriting reader was tested on 50 new handwritten letters and got 48 right. What is its accuracy in percent?
32. 32.📋 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
33. 33.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
35. 35.📦 Kabir collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📦 Saanvi collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
38. 38.🎯 Arjun’s recycling sorter was tested on 50 new waste photos and got 46 right. What is its accuracy in percent?
39. 39.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
40. 40.📦 Vihaan collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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