Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 890 · 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.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
2. 2.🧪 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
3. 3.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
5. 5.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
6. 6.📦 Aarav collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
8. 8.❌ Ananya’s recycling sorter was tested on 35 new waste photos and got 26 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
10. 10.📦 Vihaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.📦 Diya collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 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
13. 13.🎯 Ishaan’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
14. 14.📦 Ishaan collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
15. 15.❌ Tara’s fruit sorter was tested on 38 new fruit photos and got 34 right. How many did it get wrong?
16. 16.🎯 Ishaan’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
17. 17.❌ Ishaan’s handwriting reader was tested on 26 new handwritten letters and got 22 right. How many did it get wrong?
18. 18.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
19. 19.📦 Meera collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
21. 21.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 35 right and Model B got 25 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
24. 24.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 41 right. How many percentage points more accurate is Model A?
25. 25.📦 Ananya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 48 right and Model B got 28 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
28. 28.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
29. 29.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
31. 31.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
32. 32.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
33. 33.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
35. 35.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
36. 36.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
37. 37.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
38. 38.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 25 right. What is its accuracy in percent?
39. 39.📦 Tara collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?

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