Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 364 · 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 — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
3. 3.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
5. 5.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
6. 6.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
7. 7.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
8. 8.📋 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
9. 9.🎯 Ananya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
11. 11.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
13. 13.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 36 right and Model B got 27 right. How many percentage points more accurate is Model A?
14. 14.❌ Vihaan’s leaf identifier was tested on 42 new leaf photos and got 38 right. How many did it get wrong?
15. 15.📦 Arjun collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Tara’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
17. 17.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
19. 19.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
20. 20.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
21. 21.📦 Ishaan collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.📦 Tara collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Ananya collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 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
25. 25.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 40 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
27. 27.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 34 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
29. 29.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
30. 30.📦 Vihaan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Ananya’s handwriting reader was tested on 11 new handwritten letters and got 10 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
33. 33.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
34. 34.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
36. 36.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
37. 37.❌ Ananya’s fruit sorter was tested on 39 new fruit photos and got 31 right. How many did it get wrong?
38. 38.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
39. 39.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
40. 40.📦 Saanvi collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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