Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 129 · 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.📦 Rohan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Aarav collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
4. 4.❌ Meera’s leaf identifier was tested on 19 new leaf photos and got 16 right. How many did it get wrong?
5. 5.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 27 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 make it bigger (c) to save paper (d) to see if it learned
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
8. 8.📋 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
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
10. 10.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
11. 11.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
12. 12.📦 Saanvi collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
15. 15.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 34 right. What is its accuracy in percent?
16. 16.❌ Diya’s leaf identifier was tested on 34 new leaf photos and got 30 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
18. 18.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
19. 19.📦 Arjun collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
21. 21.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
22. 22.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
24. 24.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 27 right. What is its accuracy in percent?
25. 25.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
26. 26.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
27. 27.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
28. 28.📦 Aarav collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Kabir’s bird-song app was tested on 22 new bird songs and got 20 right. How many did it get wrong?
30. 30.📦 Nisha collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
32. 32.📋 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
33. 33.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
34. 34.🎯 Meera’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
35. 35.📦 Saanvi collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 40 right and Model B got 35 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
38. 38.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 44 right and Model B got 33 right. How many percentage points more accurate is Model A?
39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example

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