Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 260 · 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 leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
2. 2.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 25 right. How many percentage points more accurate is Model A?
3. 3.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
4. 4.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
5. 5.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
6. 6.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
7. 7.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
8. 8.📦 Diya collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
11. 11.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
12. 12.❌ Nisha’s handwriting reader was tested on 49 new handwritten letters and got 47 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
14. 14.❌ Arjun’s handwriting reader was tested on 42 new handwritten letters and got 41 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
16. 16.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
18. 18.❌ Ishaan’s recycling sorter was tested on 47 new waste photos and got 38 right. How many did it get wrong?
19. 19.📦 Aarav collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.❌ Kabir’s leaf identifier was tested on 13 new leaf photos and got 12 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
22. 22.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
23. 23.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
24. 24.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
26. 26.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
27. 27.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
28. 28.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
29. 29.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
31. 31.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
33. 33.❌ Tara’s leaf identifier was tested on 41 new leaf photos and got 35 right. How many did it get wrong?
34. 34.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
35. 35.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
36. 36.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
37. 37.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
38. 38.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
39. 39.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest

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