Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 872 · 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 make it bigger (c) to see if it learned (d) to save paper
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
3. 3.🎯 Saanvi’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
5. 5.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
7. 7.❌ Saanvi’s spam spotter was tested on 32 new messages and got 31 right. How many did it get wrong?
8. 8.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
10. 10.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
11. 11.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
12. 12.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
13. 13.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
14. 14.📦 Ishaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
15. 15.❌ Aarav’s handwriting reader was tested on 23 new handwritten letters and got 16 right. How many did it get wrong?
16. 16.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
19. 19.❌ Nisha’s handwriting reader was tested on 46 new handwritten letters and got 40 right. How many did it get wrong?
20. 20.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
21. 21.🎯 Nisha’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
22. 22.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
23. 23.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
24. 24.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
25. 25.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
26. 26.📦 Meera collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
28. 28.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
29. 29.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
30. 30.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
31. 31.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 34 right. How many percentage points more accurate is Model A?
32. 32.❌ Rohan’s leaf identifier was tested on 23 new leaf photos and got 15 right. How many did it get wrong?
33. 33.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
34. 34.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
35. 35.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
36. 36.🎯 Saanvi’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
37. 37.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
38. 38.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
39. 39.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
40. 40.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?

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