Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 450 · 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.📦 Kabir collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
3. 3.❌ Meera’s bird-song app was tested on 17 new bird songs and got 11 right. How many did it get wrong?
4. 4.🎯 Rohan’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
5. 5.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
6. 6.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
8. 8.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
9. 9.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
10. 10.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
11. 11.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
12. 12.❌ Diya’s fruit sorter was tested on 39 new fruit photos and got 31 right. How many did it get wrong?
13. 13.📦 Ananya collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
16. 16.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
17. 17.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
18. 18.📦 Saanvi collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
23. 23.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
24. 24.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
25. 25.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
26. 26.❌ Vihaan’s recycling sorter was tested on 37 new waste photos and got 31 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
28. 28.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
31. 31.❌ Arjun’s leaf identifier was tested on 24 new leaf photos and got 21 right. How many did it get wrong?
32. 32.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
34. 34.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
35. 35.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
36. 36.🧪 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
37. 37.📋 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
38. 38.❌ Meera’s handwriting reader was tested on 47 new handwritten letters and got 46 right. How many did it get wrong?
39. 39.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
40. 40.📦 Nisha collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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