Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 238 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
2. 2.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
3. 3.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
4. 4.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
5. 5.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
7. 7.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
8. 8.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
10. 10.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
11. 11.📦 Aarav collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
13. 13.🎯 Saanvi’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
14. 14.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
17. 17.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
18. 18.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
19. 19.📦 Rohan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
21. 21.📦 Nisha collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
23. 23.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
24. 24.❌ Diya’s bird-song app was tested on 23 new bird songs and got 20 right. How many did it get wrong?
25. 25.❌ Meera’s leaf identifier was tested on 16 new leaf photos and got 13 right. How many did it get wrong?
26. 26.📦 Meera collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
28. 28.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
29. 29.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
30. 30.🧪 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 save paper (d) to make it bigger
31. 31.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 14 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
33. 33.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
35. 35.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
36. 36.📦 Tara collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
38. 38.📦 Arjun collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
40. 40.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?

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