Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 955 · 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) a new colour screen (d) fewer examples
2. 2.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
3. 3.❌ Saanvi’s leaf identifier was tested on 22 new leaf photos and got 14 right. How many did it get wrong?
4. 4.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
5. 5.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
7. 7.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
10. 10.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
11. 11.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
13. 13.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?
14. 14.📦 Diya collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
15. 15.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
17. 17.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
18. 18.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
20. 20.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 17 right. What is its accuracy in percent?
21. 21.🎯 Aarav’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
22. 22.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
23. 23.🎯 Ananya’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
24. 24.📦 Saanvi collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
26. 26.❌ Kabir’s leaf identifier was tested on 33 new leaf photos and got 26 right. How many did it get wrong?
27. 27.❌ Saanvi’s bird-song app was tested on 50 new bird songs and got 48 right. How many did it get wrong?
28. 28.📦 Tara collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
30. 30.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
32. 32.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
33. 33.❌ Saanvi’s recycling sorter was tested on 40 new waste photos and got 36 right. How many did it get wrong?
34. 34.❌ Kabir’s handwriting reader was tested on 18 new handwritten letters and got 13 right. How many did it get wrong?
35. 35.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
36. 36.❌ Diya’s leaf identifier was tested on 41 new leaf photos and got 37 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
38. 38.📦 Tara collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
40. 40.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?

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