Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 39 · 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 — improve data, retest or train the model? (a) improve data, retest (b) train the model
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
4. 4.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
5. 5.❌ Meera’s fruit sorter was tested on 18 new fruit photos and got 12 right. How many did it get wrong?
6. 6.📦 Rohan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
8. 8.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
9. 9.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
11. 11.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
12. 12.🎯 Kabir’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
13. 13.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
14. 14.🎯 Rohan’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
16. 16.🎯 Arjun’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
18. 18.📦 Ananya collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
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.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
21. 21.📦 Nisha collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
23. 23.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
25. 25.📦 Kabir collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 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
27. 27.📦 Saanvi collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
29. 29.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
31. 31.📦 Ananya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.📦 Saanvi collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
34. 34.📦 Rohan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
36. 36.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
39. 39.📦 Saanvi collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.⚖️ 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?

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