Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 491 · 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.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
2. 2.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
3. 3.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
4. 4.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
5. 5.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
7. 7.❌ Saanvi’s leaf identifier was tested on 20 new leaf photos and got 15 right. How many did it get wrong?
8. 8.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
10. 10.📦 Nisha collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.❌ Rohan’s handwriting reader was tested on 23 new handwritten letters and got 17 right. How many did it get wrong?
12. 12.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 32 right and Model B got 29 right. How many percentage points more accurate is Model A?
13. 13.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 34 right and Model B got 32 right. How many percentage points more accurate is Model A?
14. 14.📦 Vihaan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
16. 16.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
17. 17.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
18. 18.📦 Meera collected 130 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 train the model? (a) test on new photos (b) train the model
20. 20.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
21. 21.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
22. 22.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
23. 23.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
24. 24.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
26. 26.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
27. 27.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
28. 28.📦 Aarav collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
30. 30.📦 Rohan collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
32. 32.❌ Kabir’s recycling sorter was tested on 44 new waste photos and got 35 right. How many did it get wrong?
33. 33.📦 Kabir collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
35. 35.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
36. 36.❌ Arjun’s leaf identifier was tested on 24 new leaf photos and got 15 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
39. 39.📦 Kabir collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?

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