Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 211 · 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 — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
2. 2.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
3. 3.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
4. 4.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
6. 6.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
8. 8.📦 Tara collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
10. 10.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
11. 11.🎯 Ananya’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
12. 12.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 25 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
14. 14.🎯 Saanvi’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
15. 15.📦 Kabir collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
17. 17.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
19. 19.📦 Saanvi collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Diya collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
22. 22.🎯 Meera’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
23. 23.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
24. 24.📦 Kabir collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Rohan’s leaf identifier was tested on 23 new leaf photos and got 17 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
27. 27.❌ Vihaan’s spam spotter was tested on 49 new messages and got 40 right. How many did it get wrong?
28. 28.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
29. 29.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
31. 31.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
32. 32.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
33. 33.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
34. 34.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
36. 36.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
37. 37.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 47 right. What is its accuracy in percent?
38. 38.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 33 right and Model B got 32 right. How many percentage points more accurate is Model A?
39. 39.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
40. 40.📦 Aarav collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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