Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 762 · 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.📦 Vihaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
4. 4.❌ Kabir’s recycling sorter was tested on 47 new waste photos and got 46 right. How many did it get wrong?
5. 5.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
6. 6.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
7. 7.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
9. 9.❌ Tara’s leaf identifier was tested on 42 new leaf photos and got 35 right. How many did it get wrong?
10. 10.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
11. 11.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
13. 13.📦 Saanvi collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
15. 15.📦 Saanvi collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 44 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
18. 18.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
19. 19.❌ Vihaan’s handwriting reader was tested on 38 new handwritten letters and got 34 right. How many did it get wrong?
20. 20.❌ Diya’s leaf identifier was tested on 20 new leaf photos and got 18 right. How many did it get wrong?
21. 21.🧪 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
22. 22.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
23. 23.❌ Ishaan’s leaf identifier was tested on 49 new leaf photos and got 47 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
25. 25.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
26. 26.🧪 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
27. 27.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
28. 28.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
29. 29.❌ Nisha’s spam spotter was tested on 22 new messages and got 21 right. How many did it get wrong?
30. 30.🎯 Ishaan’s spam spotter was tested on 50 new messages and got 47 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
32. 32.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
34. 34.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
35. 35.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
36. 36.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
37. 37.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
39. 39.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
40. 40.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 12 right. What is its accuracy in percent?

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