Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 543 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
2. 2.📦 Kabir collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
4. 4.❌ Ananya’s spam spotter was tested on 31 new messages and got 26 right. How many did it get wrong?
5. 5.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
7. 7.📦 Aarav collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
9. 9.📦 Tara collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Aarav’s recycling sorter was tested on 48 new waste photos and got 43 right. How many did it get wrong?
11. 11.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 37 right and Model B got 29 right. How many percentage points more accurate is Model A?
12. 12.📦 Saanvi collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
13. 13.❌ Tara’s bird-song app was tested on 48 new bird songs and got 46 right. How many did it get wrong?
14. 14.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
16. 16.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
17. 17.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
18. 18.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
19. 19.❌ Ananya’s handwriting reader was tested on 28 new handwritten letters and got 27 right. How many did it get wrong?
20. 20.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
21. 21.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
22. 22.📦 Ananya collected 140 labelled bird songs for a bird-song app 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 let it learn patterns? (a) work out the accuracy (b) let it learn patterns
24. 24.❌ Tara’s spam spotter was tested on 20 new messages and got 18 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
26. 26.❌ Saanvi’s fruit sorter was tested on 16 new fruit photos and got 10 right. How many did it get wrong?
27. 27.📦 Tara collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
29. 29.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
30. 30.📦 Aarav collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Tara’s handwriting reader was tested on 46 new handwritten letters and got 42 right. How many did it get wrong?
32. 32.🎯 Rohan’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
33. 33.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
34. 34.📋 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
35. 35.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
36. 36.📦 Rohan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Nisha collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
40. 40.🎯 Nisha’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?

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