Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 317 · 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.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
3. 3.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
4. 4.❌ Meera’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
5. 5.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
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.📦 Nisha collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
10. 10.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
12. 12.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
14. 14.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
15. 15.📦 Saanvi collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
18. 18.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
20. 20.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
21. 21.🎯 Diya’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
23. 23.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
25. 25.❌ Diya’s fruit sorter was tested on 27 new fruit photos and got 19 right. How many did it get wrong?
26. 26.❌ Aarav’s bird-song app was tested on 17 new bird songs and got 10 right. How many did it get wrong?
27. 27.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
28. 28.🎯 Aarav’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
29. 29.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
30. 30.🎯 Ishaan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
32. 32.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
33. 33.📦 Arjun collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Vihaan’s bird-song app was tested on 36 new bird songs and got 32 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
36. 36.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
37. 37.❌ Tara’s bird-song app was tested on 50 new bird songs and got 49 right. How many did it get wrong?
38. 38.🎯 Rohan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
40. 40.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?

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