Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 996 · 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.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
2. 2.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
3. 3.🎯 Rohan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
4. 4.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
5. 5.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
6. 6.🎯 Rohan’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
7. 7.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
9. 9.📦 Saanvi collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
11. 11.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
12. 12.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
13. 13.📦 Kabir collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
15. 15.🧪 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
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
17. 17.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
20. 20.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
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.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
24. 24.❌ Ishaan’s recycling sorter was tested on 48 new waste photos and got 46 right. How many did it get wrong?
25. 25.📦 Diya collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Meera’s fruit sorter was tested on 24 new fruit photos and got 16 right. How many did it get wrong?
27. 27.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
29. 29.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 39 right and Model B got 37 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
31. 31.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
32. 32.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
33. 33.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
34. 34.❌ Aarav’s handwriting reader was tested on 19 new handwritten letters and got 16 right. How many did it get wrong?
35. 35.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
36. 36.❌ Ishaan’s fruit sorter was tested on 42 new fruit photos and got 41 right. How many did it get wrong?
37. 37.🎯 Meera’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
39. 39.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
40. 40.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 40 right. What is its accuracy in percent?

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