Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 922 · 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.📦 Vihaan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Vihaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
4. 4.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
5. 5.📦 Arjun collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
7. 7.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
8. 8.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
9. 9.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
11. 11.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
12. 12.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
14. 14.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
15. 15.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
17. 17.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 31 right. How many did it get wrong?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
19. 19.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
20. 20.🎯 Rohan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
21. 21.📦 Meera collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
23. 23.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 45 right. How many percentage points more accurate is Model A?
24. 24.📋 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
25. 25.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
26. 26.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
27. 27.❌ Saanvi’s fruit sorter was tested on 27 new fruit photos and got 19 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
29. 29.❌ Kabir’s spam spotter was tested on 38 new messages and got 29 right. How many did it get wrong?
30. 30.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
32. 32.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
33. 33.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
35. 35.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
36. 36.🎯 Arjun’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
37. 37.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
39. 39.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
40. 40.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?

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