Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 953 · 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.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
2. 2.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
3. 3.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
5. 5.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
6. 6.🎯 Nisha’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
8. 8.📦 Saanvi collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
11. 11.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
12. 12.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
13. 13.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
14. 14.📦 Meera collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
17. 17.🎯 Rohan’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
18. 18.📦 Arjun collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
20. 20.❌ Saanvi’s leaf identifier was tested on 27 new leaf photos and got 19 right. How many did it get wrong?
21. 21.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
22. 22.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
23. 23.📋 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
24. 24.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
28. 28.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
30. 30.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
31. 31.🎯 Ananya’s spam spotter was tested on 25 new messages and got 22 right. What is its accuracy in percent?
32. 32.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 33 right and Model B got 30 right. How many percentage points more accurate is Model A?
33. 33.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
34. 34.❌ Meera’s recycling sorter was tested on 14 new waste photos and got 10 right. How many did it get wrong?
35. 35.📦 Saanvi collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
37. 37.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
39. 39.📋 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
40. 40.📦 Vihaan collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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