Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 787 · 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.🎯 Aarav’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
2. 2.📋 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
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
5. 5.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
6. 6.📋 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
7. 7.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
9. 9.📦 Aarav collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
11. 11.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
13. 13.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
14. 14.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
15. 15.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
16. 16.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
18. 18.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
19. 19.❌ Meera’s fruit sorter was tested on 16 new fruit photos and got 13 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
21. 21.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
22. 22.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 27 right. What is its accuracy in percent?
23. 23.📦 Ananya collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 29 right. What is its accuracy in percent?
25. 25.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
26. 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
27. 27.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
28. 28.❌ Rohan’s leaf identifier was tested on 33 new leaf photos and got 26 right. How many did it get wrong?
29. 29.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
31. 31.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
33. 33.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
34. 34.❌ Saanvi’s recycling sorter was tested on 34 new waste photos and got 28 right. How many did it get wrong?
35. 35.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
36. 36.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
37. 37.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
38. 38.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
39. 39.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
40. 40.❌ Saanvi’s spam spotter was tested on 23 new messages and got 15 right. How many did it get wrong?

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