Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 341 · 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.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
2. 2.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
3. 3.❌ Arjun’s fruit sorter was tested on 45 new fruit photos and got 39 right. How many did it get wrong?
4. 4.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 70 new fruit photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
6. 6.📦 Arjun collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 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
8. 8.❌ Arjun’s recycling sorter was tested on 22 new waste photos and got 14 right. How many did it get wrong?
9. 9.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
11. 11.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
14. 14.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
15. 15.❌ Tara’s recycling sorter was tested on 24 new waste photos and got 17 right. How many did it get wrong?
16. 16.❌ Nisha’s handwriting reader was tested on 45 new handwritten letters and got 44 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
18. 18.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
19. 19.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
21. 21.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
22. 22.❌ Tara’s leaf identifier was tested on 24 new leaf photos and got 22 right. How many did it get wrong?
23. 23.❌ Tara’s recycling sorter was tested on 24 new waste photos and got 22 right. How many did it get wrong?
24. 24.❌ Diya’s leaf identifier was tested on 27 new leaf photos and got 22 right. How many did it get wrong?
25. 25.🎯 Rohan’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
26. 26.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
28. 28.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
30. 30.📦 Rohan collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Aarav’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
32. 32.❌ Saanvi’s leaf identifier was tested on 16 new leaf photos and got 14 right. How many did it get wrong?
33. 33.📋 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
34. 34.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 41 right and Model B got 36 right. How many percentage points more accurate is Model A?
35. 35.❌ Rohan’s leaf identifier was tested on 41 new leaf photos and got 38 right. How many did it get wrong?
36. 36.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
37. 37.❌ Ananya’s handwriting reader was tested on 41 new handwritten letters and got 40 right. How many did it get wrong?
38. 38.❌ Meera’s recycling sorter was tested on 22 new waste photos and got 13 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
40. 40.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 36 right. What is its accuracy in percent?

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