Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 250 · 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.🎯 Tara’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
3. 3.📋 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
4. 4.❌ Arjun’s fruit sorter was tested on 23 new fruit photos and got 20 right. How many did it get wrong?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
6. 6.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
7. 7.🧪 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
8. 8.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
9. 9.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 32 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
11. 11.🎯 Vihaan’s recycling sorter is 80% accurate. If it is tested on 20 new waste photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
13. 13.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 36 right. How many percentage points more accurate is Model A?
15. 15.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
17. 17.❌ Aarav’s recycling sorter was tested on 38 new waste photos and got 34 right. How many did it get wrong?
18. 18.📦 Rohan collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Vihaan’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
20. 20.❌ Meera’s bird-song app was tested on 25 new bird songs and got 24 right. How many did it get wrong?
21. 21.📦 Ishaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 19 right. How many did it get wrong?
23. 23.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
25. 25.📋 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
26. 26.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
27. 27.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
29. 29.❌ Diya’s fruit sorter was tested on 14 new fruit photos and got 12 right. How many did it get wrong?
30. 30.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
31. 31.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
33. 33.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
34. 34.❌ Rohan’s bird-song app was tested on 38 new bird songs and got 30 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
36. 36.📦 Rohan collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Kabir’s leaf identifier was tested on 30 new leaf photos and got 27 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
39. 39.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
40. 40.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?

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