Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 375 · 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.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
3. 3.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
4. 4.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
6. 6.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
8. 8.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
10. 10.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
11. 11.📋 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
12. 12.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
13. 13.❌ Aarav’s spam spotter was tested on 23 new messages and got 17 right. How many did it get wrong?
14. 14.❌ Nisha’s fruit sorter was tested on 19 new fruit photos and got 14 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
17. 17.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
18. 18.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
19. 19.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
20. 20.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
21. 21.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
22. 22.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
23. 23.❌ Ananya’s spam spotter was tested on 30 new messages and got 23 right. How many did it get wrong?
24. 24.📦 Meera collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Ananya’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
26. 26.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 46 right and Model B got 39 right. How many percentage points more accurate is Model A?
27. 27.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
28. 28.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
30. 30.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
31. 31.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
32. 32.📦 Vihaan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Nisha’s bird-song app was tested on 40 new bird songs and got 36 right. How many did it get wrong?
34. 34.📦 Kabir collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
37. 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
38. 38.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 90 new waste photos, how many should it get right?
39. 39.📦 Arjun collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.📦 Kabir collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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