Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 579 · 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.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
2. 2.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 39 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
5. 5.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
7. 7.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
8. 8.📦 Ishaan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
10. 10.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
11. 11.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
12. 12.📋 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
13. 13.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
15. 15.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
16. 16.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
18. 18.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
19. 19.📦 Meera collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
21. 21.❌ Ananya’s handwriting reader was tested on 24 new handwritten letters and got 20 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
23. 23.📦 Meera collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
25. 25.❌ Ishaan’s leaf identifier was tested on 30 new leaf photos and got 22 right. How many did it get wrong?
26. 26.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
27. 27.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 46 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
29. 29.📦 Ishaan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
31. 31.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
32. 32.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
33. 33.❌ Tara’s spam spotter was tested on 43 new messages and got 38 right. How many did it get wrong?
34. 34.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
35. 35.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
36. 36.❌ Aarav’s bird-song app was tested on 32 new bird songs and got 31 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
38. 38.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
39. 39.📦 Nisha collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Tara’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?

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