Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 511 · 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.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
2. 2.🎯 Aarav’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
3. 3.❌ Arjun’s bird-song app was tested on 22 new bird songs and got 16 right. How many did it get wrong?
4. 4.📦 Kabir collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.📦 Rohan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
7. 7.🎯 Ishaan’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
8. 8.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 16 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
10. 10.📦 Aarav collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
13. 13.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 44 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
15. 15.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
16. 16.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
17. 17.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
18. 18.🎯 Vihaan’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
19. 19.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
20. 20.❌ Diya’s spam spotter was tested on 40 new messages and got 35 right. How many did it get wrong?
21. 21.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
22. 22.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
24. 24.📦 Meera collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 50 right. What is its accuracy in percent?
26. 26.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
27. 27.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 25 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
29. 29.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
30. 30.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
31. 31.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
32. 32.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
33. 33.📦 Vihaan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Aarav’s spam spotter was tested on 30 new messages and got 22 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
36. 36.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 48 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
39. 39.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model

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