Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 224 · 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.🎯 Nisha’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
2. 2.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
3. 3.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
4. 4.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
5. 5.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
6. 6.📦 Rohan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.❌ Kabir’s fruit sorter was tested on 23 new fruit photos and got 20 right. How many did it get wrong?
8. 8.🎯 Kabir’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
9. 9.🧪 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
10. 10.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
13. 13.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
14. 14.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
16. 16.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
17. 17.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
18. 18.❌ Aarav’s fruit sorter was tested on 28 new fruit photos and got 27 right. How many did it get wrong?
19. 19.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
20. 20.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 44 right. How many percentage points more accurate is Model A?
21. 21.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
22. 22.❌ Diya’s fruit sorter was tested on 44 new fruit photos and got 42 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
24. 24.❌ Aarav’s handwriting reader was tested on 13 new handwritten letters and got 10 right. How many did it get wrong?
25. 25.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
27. 27.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
28. 28.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
31. 31.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
33. 33.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
34. 34.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
36. 36.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
37. 37.📦 Tara collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
39. 39.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
40. 40.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?

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