Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 460 · 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) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
2. 2.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
4. 4.🎯 Aarav’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
5. 5.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
6. 6.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
7. 7.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
8. 8.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
9. 9.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
10. 10.❌ Nisha’s handwriting reader was tested on 22 new handwritten letters and got 17 right. How many did it get wrong?
11. 11.🎯 Tara’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
12. 12.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?
13. 13.❌ Ishaan’s handwriting reader was tested on 21 new handwritten letters and got 19 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
15. 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
16. 16.❌ Arjun’s fruit sorter was tested on 17 new fruit photos and got 15 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
18. 18.📋 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
19. 19.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
20. 20.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
22. 22.📦 Vihaan collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 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
24. 24.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 41 right and Model B got 38 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
26. 26.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 14 right. How many percentage points more accurate is Model A?
27. 27.📦 Meera collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
29. 29.🧪 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
30. 30.📦 Tara collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📦 Aarav collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
33. 33.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
34. 34.🎯 Arjun’s leaf identifier was tested on 50 new leaf photos and got 44 right. What is its accuracy in percent?
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
37. 37.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
38. 38.📦 Saanvi collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
40. 40.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?

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