Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 734 · 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.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
2. 2.📦 Aarav collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
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.📦 Ananya collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📦 Meera collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 24 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
11. 11.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
12. 12.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
13. 13.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
14. 14.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
15. 15.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
16. 16.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
17. 17.🎯 Meera’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
18. 18.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
19. 19.❌ Saanvi’s recycling sorter was tested on 44 new waste photos and got 43 right. How many did it get wrong?
20. 20.❌ Rohan’s fruit sorter was tested on 45 new fruit photos and got 42 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
22. 22.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
23. 23.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 22 right. What is its accuracy in percent?
24. 24.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 44 right and Model B got 31 right. How many percentage points more accurate is Model A?
25. 25.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
26. 26.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
27. 27.❌ Diya’s bird-song app was tested on 33 new bird songs and got 30 right. How many did it get wrong?
28. 28.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 49 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
30. 30.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
31. 31.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
32. 32.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
34. 34.❌ Meera’s spam spotter was tested on 49 new messages and got 46 right. How many did it get wrong?
35. 35.📦 Meera collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
37. 37.❌ Ishaan’s fruit sorter was tested on 37 new fruit photos and got 32 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
39. 39.🎯 Rohan’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
40. 40.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?

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