Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 74 · 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.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 26 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
3. 3.📦 Vihaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
5. 5.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
7. 7.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
8. 8.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
9. 9.📦 Arjun collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Meera’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
13. 13.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
14. 14.📋 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
15. 15.📦 Diya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
17. 17.❌ Meera’s fruit sorter was tested on 42 new fruit photos and got 35 right. How many did it get wrong?
18. 18.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
19. 19.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
20. 20.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
21. 21.📦 Tara collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
23. 23.❌ Meera’s handwriting reader was tested on 45 new handwritten letters and got 38 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
25. 25.📦 Nisha collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
27. 27.❌ Tara’s spam spotter was tested on 38 new messages and got 29 right. How many did it get wrong?
28. 28.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
29. 29.❌ Aarav’s handwriting reader was tested on 26 new handwritten letters and got 18 right. How many did it get wrong?
30. 30.📦 Meera collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
33. 33.📦 Ananya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
35. 35.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
36. 36.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
37. 37.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
40. 40.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest

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