Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 761 · 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.❌ Nisha’s handwriting reader was tested on 25 new handwritten letters and got 16 right. How many did it get wrong?
2. 2.⚖️ 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?
3. 3.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
5. 5.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
6. 6.📦 Meera collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
8. 8.📦 Aarav collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
10. 10.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
11. 11.📦 Ishaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
14. 14.📦 Arjun collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
17. 17.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
20. 20.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
21. 21.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
23. 23.📦 Diya collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📦 Diya collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
26. 26.❌ Meera’s fruit sorter was tested on 40 new fruit photos and got 35 right. How many did it get wrong?
27. 27.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
28. 28.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 40 right. How many percentage points more accurate is Model A?
29. 29.🎯 Kabir’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
31. 31.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
33. 33.❌ Ananya’s fruit sorter was tested on 38 new fruit photos and got 34 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
35. 35.📦 Diya collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Aarav’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
37. 37.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
38. 38.❌ Kabir’s bird-song app was tested on 25 new bird songs and got 24 right. How many did it get wrong?
39. 39.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
40. 40.❌ Arjun’s handwriting reader was tested on 35 new handwritten letters and got 34 right. How many did it get wrong?

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