Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 994 · 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.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
2. 2.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
4. 4.📋 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
5. 5.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
7. 7.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
8. 8.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
9. 9.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
10. 10.❌ Meera’s bird-song app was tested on 45 new bird songs and got 37 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
12. 12.🎯 Nisha’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
13. 13.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
14. 14.🎯 Arjun’s handwriting reader was tested on 50 new handwritten letters and got 31 right. What is its accuracy in percent?
15. 15.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
16. 16.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
17. 17.🧪 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
18. 18.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
20. 20.🎯 Vihaan’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
21. 21.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 17 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
23. 23.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
24. 24.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
25. 25.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
26. 26.❌ Diya’s fruit sorter was tested on 40 new fruit photos and got 31 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
28. 28.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
30. 30.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
31. 31.📦 Ananya collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
33. 33.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
34. 34.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
36. 36.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
37. 37.📋 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
38. 38.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
39. 39.📦 Diya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example

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