Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 971 · 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 24 new handwritten letters and got 17 right. How many did it get wrong?
2. 2.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
5. 5.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
6. 6.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
7. 7.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
9. 9.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
10. 10.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
11. 11.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
12. 12.❌ Ananya’s handwriting reader was tested on 35 new handwritten letters and got 26 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
14. 14.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
15. 15.📋 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
16. 16.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
18. 18.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
19. 19.📦 Saanvi collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
21. 21.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 22 right. What is its accuracy in percent?
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
23. 23.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
24. 24.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
25. 25.📦 Aarav collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Ananya collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
30. 30.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
31. 31.📦 Nisha collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
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.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
35. 35.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
36. 36.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
37. 37.📦 Ananya collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Aarav’s bird-song app was tested on 40 new bird songs and got 38 right. How many did it get wrong?
39. 39.🎯 Aarav’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
40. 40.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?

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