Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 837 · 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.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
3. 3.📦 Meera collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
6. 6.🎯 Saanvi’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
8. 8.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
9. 9.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
10. 10.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
12. 12.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
13. 13.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
15. 15.🎯 Vihaan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
16. 16.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
17. 17.📦 Arjun collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
20. 20.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
21. 21.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 35 right and Model B got 34 right. How many percentage points more accurate is Model A?
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
23. 23.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
24. 24.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 34 right and Model B got 32 right. How many percentage points more accurate is Model A?
25. 25.🎯 Aarav’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
26. 26.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
27. 27.🎯 Arjun’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
28. 28.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
29. 29.📦 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?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
33. 33.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
34. 34.❌ Saanvi’s fruit sorter was tested on 44 new fruit photos and got 37 right. How many did it get wrong?
35. 35.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
36. 36.📦 Kabir collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Kabir’s fruit sorter was tested on 27 new fruit photos and got 26 right. How many did it get wrong?
38. 38.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
39. 39.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
40. 40.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?

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