Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 406 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
2. 2.📦 Saanvi collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.❌ Ananya’s bird-song app was tested on 43 new bird songs and got 37 right. How many did it get wrong?
4. 4.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
6. 6.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
7. 7.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
8. 8.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
10. 10.📋 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
11. 11.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
12. 12.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 36 right. What is its accuracy in percent?
13. 13.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
14. 14.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
15. 15.📋 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
16. 16.📦 Ananya collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 17 right. What is its accuracy in percent?
18. 18.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
19. 19.🎯 Diya’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
20. 20.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
21. 21.📋 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
22. 22.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
24. 24.❌ Rohan’s handwriting reader was tested on 30 new handwritten letters and got 26 right. How many did it get wrong?
25. 25.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
26. 26.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 28 right. What is its accuracy in percent?
27. 27.🎯 Ananya’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
29. 29.🎯 Rohan’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
30. 30.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 48 right. What is its accuracy in percent?
31. 31.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
33. 33.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 23 right. What is its accuracy in percent?
34. 34.❌ Saanvi’s handwriting reader was tested on 28 new handwritten letters and got 25 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
36. 36.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
37. 37.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
39. 39.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
40. 40.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?

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