Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 710 · 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 — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
2. 2.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
4. 4.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
5. 5.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
6. 6.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 40 right and Model B got 35 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
8. 8.📦 Arjun collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
10. 10.📦 Meera collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
12. 12.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
13. 13.🧪 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 make it bigger (d) to save paper
14. 14.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
15. 15.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
16. 16.🎯 Kabir’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
17. 17.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
19. 19.📦 Diya collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
21. 21.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
23. 23.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
25. 25.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
26. 26.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
27. 27.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
29. 29.📦 Nisha collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
30. 30.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
31. 31.❌ Rohan’s handwriting reader was tested on 22 new handwritten letters and got 16 right. How many did it get wrong?
32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
33. 33.❌ Ishaan’s leaf identifier was tested on 42 new leaf photos and got 34 right. How many did it get wrong?
34. 34.❌ Diya’s leaf identifier was tested on 26 new leaf photos and got 22 right. How many did it get wrong?
35. 35.🎯 Arjun’s spam spotter was tested on 50 new messages and got 45 right. What is its accuracy in percent?
36. 36.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
37. 37.🎯 Diya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
38. 38.📋 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
39. 39.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
40. 40.❌ Vihaan’s bird-song app was tested on 24 new bird songs and got 23 right. How many did it get wrong?

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