Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 917 · 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) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
2. 2.❌ Meera’s leaf identifier was tested on 34 new leaf photos and got 31 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
4. 4.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
6. 6.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
8. 8.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
9. 9.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
12. 12.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
13. 13.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 39 right and Model B got 37 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
16. 16.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
17. 17.📦 Meera collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Aarav collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
21. 21.📦 Arjun collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.📦 Diya collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
25. 25.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 33 right. What is its accuracy in percent?
26. 26.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
27. 27.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
29. 29.❌ Arjun’s fruit sorter was tested on 25 new fruit photos and got 20 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
32. 32.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
33. 33.❌ Rohan’s bird-song app was tested on 46 new bird songs and got 39 right. How many did it get wrong?
34. 34.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
35. 35.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
36. 36.❌ Arjun’s leaf identifier was tested on 45 new leaf photos and got 40 right. How many did it get wrong?
37. 37.📦 Nisha collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
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.❌ Kabir’s fruit sorter was tested on 20 new fruit photos and got 11 right. How many did it get wrong?
40. 40.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?

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