Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 692 · 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.❌ Ananya’s leaf identifier was tested on 47 new leaf photos and got 44 right. How many did it get wrong?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
3. 3.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
4. 4.❌ Arjun’s spam spotter was tested on 40 new messages and got 31 right. How many did it get wrong?
5. 5.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 42 right and Model B got 40 right. How many percentage points more accurate is Model A?
6. 6.📦 Nisha collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
7. 7.📦 Diya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
9. 9.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
11. 11.📋 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
12. 12.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
13. 13.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
14. 14.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
15. 15.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
16. 16.🧪 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
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
18. 18.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
19. 19.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
20. 20.❌ Meera’s leaf identifier was tested on 23 new leaf photos and got 15 right. How many did it get wrong?
21. 21.📦 Tara collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 37 right and Model B got 28 right. How many percentage points more accurate is Model A?
23. 23.📋 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
24. 24.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
26. 26.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
27. 27.📦 Rohan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.⚖️ 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?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
30. 30.❌ Vihaan’s recycling sorter was tested on 32 new waste photos and got 31 right. How many did it get wrong?
31. 31.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 25 right. What is its accuracy in percent?
32. 32.📦 Kabir collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Ananya’s fruit sorter was tested on 42 new fruit photos and got 40 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
35. 35.❌ Rohan’s handwriting reader was tested on 33 new handwritten letters and got 25 right. How many did it get wrong?
36. 36.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
37. 37.🎯 Saanvi’s spam spotter was tested on 50 new messages and got 25 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
39. 39.📦 Vihaan collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Ananya’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?

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