Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 1 · 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.🎯 Ishaan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
3. 3.📦 Diya collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
5. 5.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
7. 7.❌ Aarav’s leaf identifier was tested on 45 new leaf photos and got 38 right. How many did it get wrong?
8. 8.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
10. 10.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
11. 11.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
12. 12.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
13. 13.📦 Kabir collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Nisha’s recycling sorter was tested on 35 new waste photos and got 28 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
17. 17.📦 Meera collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
19. 19.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
21. 21.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
22. 22.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
24. 24.❌ Meera’s bird-song app was tested on 30 new bird songs and got 23 right. How many did it get wrong?
25. 25.❌ Meera’s recycling sorter was tested on 23 new waste photos and got 20 right. How many did it get wrong?
26. 26.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
27. 27.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
28. 28.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
29. 29.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
30. 30.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 100 new messages, how many should it get right?
31. 31.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
32. 32.❌ Nisha’s leaf identifier was tested on 20 new leaf photos and got 14 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
34. 34.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
35. 35.❌ Aarav’s spam spotter was tested on 49 new messages and got 45 right. How many did it get wrong?
36. 36.📋 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
37. 37.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
39. 39.❌ Rohan’s leaf identifier was tested on 18 new leaf photos and got 12 right. How many did it get wrong?
40. 40.❌ Meera’s bird-song app was tested on 34 new bird songs and got 32 right. How many did it get wrong?

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