Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 525 · 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 — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
3. 3.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
4. 4.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 21 right. What is its accuracy in percent?
5. 5.🎯 Vihaan’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
6. 6.❌ Ananya’s fruit sorter was tested on 45 new fruit photos and got 38 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
9. 9.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
10. 10.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 46 right. How many percentage points more accurate is Model A?
11. 11.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
13. 13.📋 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
14. 14.📦 Ananya collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
16. 16.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 28 right. How many percentage points more accurate is Model A?
17. 17.📋 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
18. 18.📦 Kabir collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
20. 20.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
21. 21.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
22. 22.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
25. 25.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
26. 26.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
27. 27.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
28. 28.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
29. 29.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
30. 30.🎯 Nisha’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
31. 31.❌ Meera’s spam spotter was tested on 36 new messages and got 29 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
33. 33.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
35. 35.❌ Meera’s handwriting reader was tested on 17 new handwritten letters and got 12 right. How many did it get wrong?
36. 36.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
37. 37.📦 Arjun collected 160 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 — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
39. 39.📋 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
40. 40.📦 Ishaan collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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