Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 526 · 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 gather many examples? (a) improve data, retest (b) gather many examples
2. 2.❌ Saanvi’s spam spotter was tested on 27 new messages and got 22 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
4. 4.❌ Ananya’s handwriting reader was tested on 35 new handwritten letters and got 31 right. How many did it get wrong?
5. 5.🎯 Ishaan’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
6. 6.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
8. 8.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
10. 10.📋 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
11. 11.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
12. 12.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 46 right and Model B got 42 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
14. 14.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
15. 15.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
16. 16.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
17. 17.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
18. 18.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
19. 19.🧪 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
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
21. 21.📦 Vihaan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
23. 23.📋 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
24. 24.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
25. 25.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
26. 26.❌ Arjun’s leaf identifier was tested on 27 new leaf photos and got 22 right. How many did it get wrong?
27. 27.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
28. 28.❌ Diya’s bird-song app was tested on 25 new bird songs and got 18 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
30. 30.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 42 right. What is its accuracy in percent?
31. 31.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
32. 32.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
33. 33.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
34. 34.📦 Saanvi collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
36. 36.❌ Arjun’s recycling sorter was tested on 31 new waste photos and got 22 right. How many did it get wrong?
37. 37.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
38. 38.❌ Saanvi’s fruit sorter was tested on 21 new fruit photos and got 19 right. How many did it get wrong?
39. 39.📦 Diya collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label

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