Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 805 · 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.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
2. 2.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
3. 3.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
4. 4.🎯 Saanvi’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
5. 5.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
6. 6.🎯 Nisha’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
8. 8.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
9. 9.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 32 right. How many percentage points more accurate is Model A?
10. 10.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
12. 12.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
14. 14.📦 Ishaan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
18. 18.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
19. 19.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
20. 20.📋 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
21. 21.🎯 Arjun’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
23. 23.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
24. 24.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
25. 25.📋 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
26. 26.❌ Rohan’s handwriting reader was tested on 49 new handwritten letters and got 45 right. How many did it get wrong?
27. 27.🎯 Ishaan’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
28. 28.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
29. 29.🎯 Tara’s spam spotter was tested on 50 new messages and got 34 right. What is its accuracy in percent?
30. 30.📦 Meera collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Meera’s recycling sorter was tested on 37 new waste photos and got 28 right. How many did it get wrong?
32. 32.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
33. 33.📦 Diya collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
35. 35.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
36. 36.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
37. 37.❌ Arjun’s spam spotter was tested on 18 new messages and got 12 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
39. 39.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again

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