Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 229 · 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 — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
2. 2.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
3. 3.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
4. 4.📦 Aarav collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
5. 5.❌ Ishaan’s fruit sorter was tested on 23 new fruit photos and got 17 right. How many did it get wrong?
6. 6.❌ Ananya’s leaf identifier was tested on 45 new leaf photos and got 41 right. How many did it get wrong?
7. 7.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
9. 9.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
10. 10.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
12. 12.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
13. 13.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
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.🧪 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
17. 17.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
19. 19.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
20. 20.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 10 right. What is its accuracy in percent?
21. 21.🧪 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
22. 22.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 13 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
24. 24.🎯 Tara’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
25. 25.📦 Saanvi collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ 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?
27. 27.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
28. 28.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
29. 29.📦 Rohan collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
32. 32.📦 Diya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
35. 35.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
36. 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
37. 37.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
38. 38.🎯 Arjun’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
39. 39.📋 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
40. 40.❌ Saanvi’s spam spotter was tested on 41 new messages and got 39 right. How many did it get wrong?

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