Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 853 · 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 — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
2. 2.🧪 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
3. 3.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
4. 4.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
5. 5.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
7. 7.📦 Ishaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
9. 9.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
11. 11.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
12. 12.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
13. 13.🎯 Aarav’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
14. 14.📦 Rohan collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
16. 16.🎯 Vihaan’s spam spotter was tested on 50 new messages and got 47 right. What is its accuracy in percent?
17. 17.📦 Tara collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
19. 19.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
20. 20.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
21. 21.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 35 right and Model B got 31 right. How many percentage points more accurate is Model A?
22. 22.📦 Vihaan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
24. 24.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
25. 25.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
26. 26.❌ Arjun’s handwriting reader was tested on 48 new handwritten letters and got 44 right. How many did it get wrong?
27. 27.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
28. 28.❌ Ananya’s recycling sorter was tested on 32 new waste photos and got 23 right. How many did it get wrong?
29. 29.🎯 Ananya’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
30. 30.❌ Diya’s fruit sorter was tested on 11 new fruit photos and got 10 right. How many did it get wrong?
31. 31.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
32. 32.🎯 Ananya’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
33. 33.📦 Kabir collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Aarav’s fruit sorter was tested on 18 new fruit photos and got 17 right. How many did it get wrong?
35. 35.❌ Saanvi’s handwriting reader was tested on 31 new handwritten letters and got 28 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
37. 37.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
38. 38.❌ Ishaan’s fruit sorter was tested on 36 new fruit photos and got 32 right. How many did it get wrong?
39. 39.❌ Diya’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
40. 40.📦 Diya collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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