Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 843 · 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 correct bad labels? (a) try unseen examples (b) correct bad labels
2. 2.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
3. 3.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
4. 4.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
5. 5.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
6. 6.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
7. 7.❌ Ishaan’s recycling sorter was tested on 26 new waste photos and got 25 right. How many did it get wrong?
8. 8.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
9. 9.📦 Arjun collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
11. 11.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
12. 12.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
14. 14.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
15. 15.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
17. 17.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
18. 18.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
19. 19.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
20. 20.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 14 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 handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
23. 23.🎯 Tara’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
24. 24.❌ Rohan’s fruit sorter was tested on 49 new fruit photos and got 45 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
26. 26.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
27. 27.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
28. 28.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
30. 30.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
31. 31.❌ Saanvi’s spam spotter was tested on 12 new messages and got 10 right. How many did it get wrong?
32. 32.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
33. 33.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
34. 34.📦 Arjun collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 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
36. 36.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
37. 37.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
38. 38.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
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.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples

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