Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 537 · 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) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
2. 2.🧪 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
3. 3.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
4. 4.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
5. 5.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
7. 7.📦 Arjun collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
9. 9.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
11. 11.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
12. 12.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
13. 13.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
14. 14.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 39 right. What is its accuracy in percent?
15. 15.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
16. 16.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
18. 18.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
19. 19.❌ Diya’s spam spotter was tested on 49 new messages and got 48 right. How many did it get wrong?
20. 20.📦 Arjun collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
22. 22.❌ Meera’s leaf identifier was tested on 39 new leaf photos and got 37 right. How many did it get wrong?
23. 23.📦 Saanvi collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
25. 25.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
26. 26.📦 Meera collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
28. 28.📋 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
29. 29.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
30. 30.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 36 right and Model B got 28 right. How many percentage points more accurate is Model A?
31. 31.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
32. 32.❌ Rohan’s spam spotter was tested on 20 new messages and got 19 right. How many did it get wrong?
33. 33.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
34. 34.❌ Rohan’s spam spotter was tested on 19 new messages and got 13 right. How many did it get wrong?
35. 35.❌ Aarav’s spam spotter was tested on 46 new messages and got 37 right. How many did it get wrong?
36. 36.📦 Diya collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
39. 39.📋 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
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right

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