Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 661 · 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.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
2. 2.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
3. 3.❌ Rohan’s leaf identifier was tested on 33 new leaf photos and got 28 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
5. 5.❌ Aarav’s handwriting reader was tested on 23 new handwritten letters and got 17 right. How many did it get wrong?
6. 6.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
7. 7.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
8. 8.❌ Diya’s leaf identifier was tested on 47 new leaf photos and got 38 right. How many did it get wrong?
9. 9.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
10. 10.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 46 right. How many did it get wrong?
11. 11.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
13. 13.📦 Nisha collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
15. 15.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
17. 17.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
18. 18.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
20. 20.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
21. 21.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
22. 22.🧪 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
23. 23.❌ Saanvi’s fruit sorter was tested on 18 new fruit photos and got 16 right. How many did it get wrong?
24. 24.📦 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?
25. 25.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 45 right. How many percentage points more accurate is Model A?
26. 26.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
27. 27.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
28. 28.❌ Aarav’s spam spotter was tested on 45 new messages and got 43 right. How many did it get wrong?
29. 29.📋 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
30. 30.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
32. 32.🎯 Vihaan’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
34. 34.📦 Tara collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
36. 36.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
37. 37.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
39. 39.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type

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