Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 217 · 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.❌ Meera’s leaf identifier was tested on 29 new leaf photos and got 22 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
3. 3.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
4. 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
6. 6.📦 Saanvi collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
8. 8.📦 Diya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
10. 10.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
12. 12.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
14. 14.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
15. 15.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
17. 17.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
18. 18.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 34 right. What is its accuracy in percent?
19. 19.❌ Saanvi’s bird-song app was tested on 22 new bird songs and got 17 right. How many did it get wrong?
20. 20.❌ Kabir’s spam spotter was tested on 19 new messages and got 11 right. How many did it get wrong?
21. 21.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 13 right. How many percentage points more accurate is Model A?
22. 22.❌ Diya’s spam spotter was tested on 47 new messages and got 40 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
24. 24.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
25. 25.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
26. 26.🎯 Nisha’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
27. 27.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
28. 28.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
29. 29.❌ Arjun’s leaf identifier was tested on 21 new leaf photos and got 15 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
31. 31.🎯 Vihaan’s recycling sorter was tested on 50 new waste photos and got 31 right. What is its accuracy in percent?
32. 32.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
33. 33.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
34. 34.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
36. 36.❌ Aarav’s leaf identifier was tested on 45 new leaf photos and got 36 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
38. 38.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 26 right. What is its accuracy in percent?
39. 39.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
40. 40.❌ Arjun’s leaf identifier was tested on 47 new leaf photos and got 45 right. How many did it get wrong?

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