Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 14 · 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.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
2. 2.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
4. 4.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
5. 5.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 38 right and Model B got 30 right. How many percentage points more accurate is Model A?
6. 6.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
7. 7.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
8. 8.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
9. 9.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
10. 10.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
13. 13.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
14. 14.❌ Diya’s leaf identifier was tested on 39 new leaf photos and got 32 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
16. 16.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 45 right and Model B got 39 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
18. 18.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
19. 19.❌ Aarav’s bird-song app was tested on 34 new bird songs and got 29 right. How many did it get wrong?
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
21. 21.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
22. 22.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
24. 24.❌ Tara’s fruit sorter was tested on 38 new fruit photos and got 29 right. How many did it get wrong?
25. 25.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
26. 26.📦 Kabir collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Tara’s recycling sorter was tested on 41 new waste photos and got 34 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
29. 29.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
30. 30.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
31. 31.❌ Aarav’s leaf identifier was tested on 33 new leaf photos and got 26 right. How many did it get wrong?
32. 32.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
34. 34.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
36. 36.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
37. 37.❌ Ishaan’s spam spotter was tested on 48 new messages and got 39 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
39. 39.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
40. 40.🎯 Diya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?

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