Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 386 · 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.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
3. 3.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
4. 4.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
5. 5.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
7. 7.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
8. 8.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 41 right and Model B got 40 right. How many percentage points more accurate is Model A?
9. 9.🎯 Arjun’s recycling sorter was tested on 50 new waste photos and got 26 right. What is its accuracy in percent?
10. 10.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
12. 12.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
13. 13.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
14. 14.📦 Nisha collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
16. 16.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
17. 17.📦 Meera collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Aarav collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
20. 20.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
21. 21.📦 Kabir collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Kabir’s spam spotter was tested on 28 new messages and got 22 right. How many did it get wrong?
23. 23.❌ Rohan’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
24. 24.❌ Arjun’s bird-song app was tested on 22 new bird songs and got 15 right. How many did it get wrong?
25. 25.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
26. 26.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
27. 27.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
29. 29.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
30. 30.❌ Aarav’s spam spotter was tested on 45 new messages and got 36 right. How many did it get wrong?
31. 31.❌ Rohan’s spam spotter was tested on 36 new messages and got 29 right. How many did it get wrong?
32. 32.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 20 right. What is its accuracy in percent?
33. 33.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
34. 34.❌ Vihaan’s handwriting reader was tested on 41 new handwritten letters and got 33 right. How many did it get wrong?
35. 35.🎯 Vihaan’s spam spotter was tested on 50 new messages and got 37 right. What is its accuracy in percent?
36. 36.❌ Arjun’s recycling sorter was tested on 20 new waste photos and got 19 right. How many did it get wrong?
37. 37.📦 Meera collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
39. 39.❌ Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 20 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest

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