Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 760 · 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.🎯 Ishaan’s fruit sorter is 80% accurate. If it is tested on 70 new fruit photos, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
3. 3.❌ Kabir’s handwriting reader was tested on 46 new handwritten letters and got 39 right. How many did it get wrong?
4. 4.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
6. 6.❌ Tara’s spam spotter was tested on 40 new messages and got 34 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
9. 9.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
11. 11.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
12. 12.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
13. 13.❌ Nisha’s leaf identifier was tested on 18 new leaf photos and got 17 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
15. 15.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
16. 16.🎯 Ananya’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
17. 17.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
19. 19.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
20. 20.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
22. 22.📦 Kabir collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Vihaan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Vihaan’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
26. 26.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
27. 27.🎯 Nisha’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
29. 29.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
30. 30.❌ Diya’s spam spotter was tested on 33 new messages and got 26 right. How many did it get wrong?
31. 31.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
32. 32.📦 Saanvi collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Ishaan’s bird-song app was tested on 30 new bird songs and got 27 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
35. 35.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
36. 36.❌ Meera’s recycling sorter was tested on 35 new waste photos and got 28 right. How many did it get wrong?
37. 37.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
38. 38.❌ Kabir’s leaf identifier was tested on 21 new leaf photos and got 14 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
40. 40.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 43 right and Model B got 36 right. How many percentage points more accurate is Model A?

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