Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 231 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
2. 2.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
3. 3.🎯 Tara’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
5. 5.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 37 right. What is its accuracy in percent?
6. 6.🧪 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 make it bigger (d) to save paper
7. 7.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
8. 8.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
9. 9.📦 Tara collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.📦 Ananya collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📦 Rohan collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
13. 13.❌ Aarav’s handwriting reader was tested on 39 new handwritten letters and got 32 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
15. 15.📦 Meera collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
17. 17.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 37 right and Model B got 30 right. How many percentage points more accurate is Model A?
18. 18.📦 Rohan collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Meera’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
20. 20.📦 Nisha collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
22. 22.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
23. 23.📦 Kabir collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
25. 25.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
26. 26.❌ Aarav’s leaf identifier was tested on 39 new leaf photos and got 36 right. How many did it get wrong?
27. 27.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
29. 29.📦 Diya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
32. 32.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
34. 34.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
36. 36.📦 Ananya collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Diya’s spam spotter was tested on 50 new messages and got 29 right. What is its accuracy in percent?
38. 38.❌ Ananya’s handwriting reader was tested on 21 new handwritten letters and got 12 right. How many did it get wrong?
39. 39.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy

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