Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 76 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
2. 2.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
3. 3.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
4. 4.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
5. 5.❌ Nisha’s fruit sorter was tested on 27 new fruit photos and got 20 right. How many did it get wrong?
6. 6.❌ Meera’s bird-song app was tested on 50 new bird songs and got 42 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
8. 8.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
9. 9.❌ Aarav’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
11. 11.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
12. 12.🎯 Arjun’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
13. 13.❌ Diya’s fruit sorter was tested on 29 new fruit photos and got 21 right. How many did it get wrong?
14. 14.📋 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
15. 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
16. 16.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 44 right and Model B got 40 right. How many percentage points more accurate is Model A?
18. 18.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
20. 20.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 39 right and Model B got 35 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
22. 22.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
23. 23.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
24. 24.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
25. 25.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
26. 26.🎯 Ananya’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
27. 27.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
29. 29.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
31. 31.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 45 right. What is its accuracy in percent?
32. 32.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
33. 33.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
35. 35.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
36. 36.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
38. 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
40. 40.❌ Diya’s leaf identifier was tested on 45 new leaf photos and got 43 right. How many did it get wrong?

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