Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 88 · 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.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
2. 2.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
5. 5.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
6. 6.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
9. 9.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
10. 10.📦 Nisha collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
12. 12.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
13. 13.📋 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
14. 14.📋 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
15. 15.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
16. 16.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
18. 18.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
19. 19.🎯 Nisha’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?
20. 20.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
24. 24.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
26. 26.❌ Meera’s handwriting reader was tested on 24 new handwritten letters and got 15 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
28. 28.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
30. 30.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
31. 31.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
33. 33.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
34. 34.📦 Diya collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Ananya’s leaf identifier was tested on 40 new leaf photos and got 33 right. How many did it get wrong?
36. 36.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
37. 37.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
38. 38.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 43 right. How many percentage points more accurate is Model A?
39. 39.❌ Rohan’s recycling sorter was tested on 15 new waste photos and got 13 right. How many did it get wrong?
40. 40.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?

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