Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 913 · 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 — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
2. 2.❌ Saanvi’s spam spotter was tested on 40 new messages and got 33 right. How many did it get wrong?
3. 3.❌ Meera’s bird-song app was tested on 36 new bird songs and got 32 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
5. 5.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 37 right and Model B got 27 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
7. 7.📦 Diya collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
10. 10.🧪 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
11. 11.📦 Meera collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
13. 13.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
14. 14.📦 Kabir collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
16. 16.📦 Saanvi collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
18. 18.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
20. 20.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
21. 21.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
22. 22.🎯 Rohan’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
24. 24.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
25. 25.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
26. 26.🧪 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 make it faster (d) to save paper
27. 27.📋 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
28. 28.❌ Nisha’s recycling sorter was tested on 40 new waste photos and got 35 right. How many did it get wrong?
29. 29.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
31. 31.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
32. 32.📦 Ishaan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
34. 34.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
35. 35.🎯 Ishaan’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
36. 36.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.🧪 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
38. 38.🎯 Diya’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
39. 39.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
40. 40.📦 Aarav collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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