Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 653 · 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 — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
2. 2.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
3. 3.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
4. 4.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
5. 5.🎯 Tara’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
6. 6.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
7. 7.❌ Ishaan’s recycling sorter was tested on 26 new waste photos and got 25 right. How many did it get wrong?
8. 8.📦 Arjun collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
10. 10.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
12. 12.❌ Ananya’s recycling sorter was tested on 37 new waste photos and got 30 right. How many did it get wrong?
13. 13.📋 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
14. 14.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
16. 16.🎯 Saanvi’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
17. 17.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
18. 18.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
19. 19.❌ Aarav’s leaf identifier was tested on 37 new leaf photos and got 30 right. How many did it get wrong?
20. 20.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
21. 21.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
22. 22.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
23. 23.❌ Tara’s bird-song app was tested on 31 new bird songs and got 24 right. How many did it get wrong?
24. 24.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
25. 25.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
27. 27.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
28. 28.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 45 right. How many percentage points more accurate is Model A?
29. 29.📦 Arjun collected 180 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 — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
31. 31.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
33. 33.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
35. 35.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
36. 36.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
37. 37.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
38. 38.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
39. 39.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
40. 40.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example

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