Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 926 · 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.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
2. 2.❌ Rohan’s handwriting reader was tested on 41 new handwritten letters and got 38 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
4. 4.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
5. 5.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
8. 8.❌ Ananya’s bird-song app was tested on 30 new bird songs and got 29 right. How many did it get wrong?
9. 9.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
12. 12.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
13. 13.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
14. 14.🧪 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
15. 15.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
16. 16.❌ Kabir’s leaf identifier was tested on 40 new leaf photos and got 32 right. How many did it get wrong?
17. 17.❌ Arjun’s leaf identifier was tested on 47 new leaf photos and got 43 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
19. 19.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
20. 20.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
21. 21.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
22. 22.📦 Ishaan collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.❌ Nisha’s spam spotter was tested on 21 new messages and got 16 right. How many did it get wrong?
24. 24.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
25. 25.📦 Tara collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Vihaan’s leaf identifier was tested on 22 new leaf photos and got 13 right. How many did it get wrong?
27. 27.📦 Vihaan collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
29. 29.📋 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
30. 30.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
31. 31.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
32. 32.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 38 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
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.📦 Ishaan collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
37. 37.❌ Nisha’s fruit sorter was tested on 31 new fruit photos and got 27 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
39. 39.🎯 Kabir’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model

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