Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 892 · 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.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
2. 2.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
3. 3.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
4. 4.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
6. 6.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
8. 8.📦 Aarav collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Aarav’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
11. 11.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
13. 13.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
14. 14.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
15. 15.❌ Kabir’s fruit sorter was tested on 32 new fruit photos and got 23 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
17. 17.❌ Tara’s recycling sorter was tested on 13 new waste photos and got 12 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
19. 19.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
21. 21.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
22. 22.📦 Meera collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
28. 28.❌ Aarav’s handwriting reader was tested on 21 new handwritten letters and got 12 right. How many did it get wrong?
29. 29.❌ Tara’s fruit sorter was tested on 44 new fruit photos and got 39 right. How many did it get wrong?
30. 30.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
32. 32.❌ Nisha’s fruit sorter was tested on 42 new fruit photos and got 33 right. How many did it get wrong?
33. 33.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
35. 35.🎯 Ananya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
36. 36.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
38. 38.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
39. 39.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 13 right. How many percentage points more accurate is Model A?
40. 40.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?

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