Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 183 · 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.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
2. 2.📦 Ananya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 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
4. 4.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
5. 5.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
6. 6.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
7. 7.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
8. 8.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
9. 9.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
11. 11.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
12. 12.📦 Ishaan collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
14. 14.❌ Vihaan’s bird-song app was tested on 26 new bird songs and got 17 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
16. 16.📦 Ananya collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
18. 18.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
19. 19.📦 Diya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.🧪 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
21. 21.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
22. 22.📦 Nisha collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
25. 25.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 18 right. How many percentage points more accurate is Model A?
26. 26.📦 Kabir collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
29. 29.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
30. 30.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
31. 31.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
32. 32.📦 Diya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
34. 34.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 31 right. What is its accuracy in percent?
35. 35.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
36. 36.❌ Meera’s spam spotter was tested on 45 new messages and got 44 right. How many did it get wrong?
37. 37.📦 Aarav collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
39. 39.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
40. 40.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 30 right. What is its accuracy in percent?

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