Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 54 · 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 — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
2. 2.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
3. 3.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
4. 4.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
5. 5.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
6. 6.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
7. 7.🎯 Saanvi’s spam spotter was tested on 20 new messages and got 10 right. What is its accuracy in percent?
8. 8.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 34 right and Model B got 27 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
11. 11.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
12. 12.❌ Rohan’s fruit sorter was tested on 43 new fruit photos and got 35 right. How many did it get wrong?
13. 13.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
15. 15.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
16. 16.📦 Rohan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Arjun collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
18. 18.❌ Aarav’s spam spotter was tested on 16 new messages and got 10 right. How many did it get wrong?
19. 19.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
20. 20.📦 Nisha collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Kabir’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
23. 23.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
24. 24.🧪 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
25. 25.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
27. 27.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
28. 28.🎯 Diya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
29. 29.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
31. 31.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 44 right and Model B got 41 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
33. 33.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
35. 35.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
37. 37.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
38. 38.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
39. 39.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
40. 40.❌ Rohan’s handwriting reader was tested on 46 new handwritten letters and got 44 right. How many did it get wrong?

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