Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 245 · 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 split train and test? (a) let it learn patterns (b) split train and test
2. 2.📦 Vihaan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
5. 5.❌ Aarav’s bird-song app was tested on 26 new bird songs and got 22 right. How many did it get wrong?
6. 6.❌ Nisha’s handwriting reader was tested on 34 new handwritten letters and got 28 right. How many did it get wrong?
7. 7.❌ Ishaan’s bird-song app was tested on 21 new bird songs and got 17 right. How many did it get wrong?
8. 8.❌ Vihaan’s spam spotter was tested on 21 new messages and got 12 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
12. 12.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
13. 13.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
14. 14.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
15. 15.❌ Ananya’s leaf identifier was tested on 27 new leaf photos and got 23 right. How many did it get wrong?
16. 16.❌ Kabir’s leaf identifier was tested on 49 new leaf photos and got 45 right. How many did it get wrong?
17. 17.📦 Meera collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
19. 19.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
21. 21.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
22. 22.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
23. 23.📦 Diya collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
26. 26.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
28. 28.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
29. 29.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 90 new messages, how many should it get right?
30. 30.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?
31. 31.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
33. 33.📦 Meera collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
35. 35.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 27 right. What is its accuracy in percent?
36. 36.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
37. 37.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
39. 39.📦 Aarav collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?

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