Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 254 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
2. 2.❌ Meera’s leaf identifier was tested on 29 new leaf photos and got 27 right. How many did it get wrong?
3. 3.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
4. 4.❌ Kabir’s bird-song app was tested on 21 new bird songs and got 18 right. How many did it get wrong?
5. 5.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
6. 6.📦 Meera collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 10 right. What is its accuracy in percent?
8. 8.📦 Rohan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
10. 10.🎯 Ishaan’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
12. 12.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
13. 13.📦 Diya collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
15. 15.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
16. 16.📋 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
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
18. 18.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
19. 19.❌ Tara’s fruit sorter was tested on 35 new fruit photos and got 33 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
21. 21.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 37 right. What is its accuracy in percent?
22. 22.❌ Meera’s bird-song app was tested on 17 new bird songs and got 12 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
24. 24.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
25. 25.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
26. 26.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 47 right. What is its accuracy in percent?
27. 27.❌ Aarav’s recycling sorter was tested on 48 new waste photos and got 41 right. How many did it get wrong?
28. 28.🎯 Nisha’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
29. 29.📦 Saanvi collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Ishaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.📦 Saanvi collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
33. 33.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
34. 34.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
35. 35.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
37. 37.📦 Ishaan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Meera’s handwriting reader was tested on 14 new handwritten letters and got 13 right. How many did it get wrong?
39. 39.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns

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