Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 856 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
4. 4.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
5. 5.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
6. 6.❌ Kabir’s recycling sorter was tested on 29 new waste photos and got 27 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
8. 8.🎯 Nisha’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
10. 10.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
12. 12.📦 Vihaan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 36 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
15. 15.❌ Meera’s fruit sorter was tested on 20 new fruit photos and got 15 right. How many did it get wrong?
16. 16.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
17. 17.❌ Meera’s recycling sorter was tested on 25 new waste photos and got 16 right. How many did it get wrong?
18. 18.📦 Rohan collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
20. 20.❌ Aarav’s recycling sorter was tested on 36 new waste photos and got 31 right. How many did it get wrong?
21. 21.🎯 Tara’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
22. 22.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
24. 24.🎯 Ananya’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
26. 26.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
27. 27.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
28. 28.❌ Meera’s recycling sorter was tested on 28 new waste photos and got 25 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
30. 30.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
32. 32.📦 Aarav collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
34. 34.❌ Ishaan’s recycling sorter was tested on 29 new waste photos and got 23 right. How many did it get wrong?
35. 35.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
37. 37.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
38. 38.❌ Diya’s spam spotter was tested on 28 new messages and got 19 right. How many did it get wrong?
39. 39.📋 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
40. 40.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?

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