Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 882 · 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 — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
2. 2.🧪 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
3. 3.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
4. 4.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
5. 5.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
6. 6.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
7. 7.📦 Saanvi collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Ananya’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
9. 9.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Arjun’s spam spotter was tested on 50 new messages and got 48 right. How many did it get wrong?
11. 11.🧪 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
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
13. 13.🧪 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
14. 14.📦 Nisha collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
16. 16.🎯 Meera’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
17. 17.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
18. 18.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
20. 20.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 30 right. What is its accuracy in percent?
21. 21.📦 Kabir collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Diya’s recycling sorter was tested on 17 new waste photos and got 15 right. How many did it get wrong?
23. 23.📦 Nisha collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 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
25. 25.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
26. 26.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
27. 27.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
28. 28.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
29. 29.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
30. 30.📦 Diya collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
33. 33.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
34. 34.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
35. 35.❌ Arjun’s leaf identifier was tested on 49 new leaf photos and got 42 right. How many did it get wrong?
36. 36.📦 Aarav collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
38. 38.📦 Rohan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Diya’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples

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