Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 745 · 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.🎯 Nisha’s spam spotter was tested on 25 new messages and got 24 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
3. 3.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
5. 5.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
6. 6.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
7. 7.❌ Tara’s fruit sorter was tested on 32 new fruit photos and got 30 right. How many did it get wrong?
8. 8.📦 Diya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
10. 10.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
11. 11.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
12. 12.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
13. 13.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
14. 14.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
15. 15.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
17. 17.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
18. 18.📦 Tara collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
20. 20.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
21. 21.🎯 Nisha’s handwriting reader was tested on 20 new handwritten letters and got 20 right. What is its accuracy in percent?
22. 22.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
23. 23.❌ Arjun’s spam spotter was tested on 37 new messages and got 30 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
25. 25.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 26 right. What is its accuracy in percent?
26. 26.📦 Kabir collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
29. 29.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
31. 31.📦 Ananya collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
33. 33.📋 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
34. 34.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
35. 35.🧪 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
36. 36.❌ Diya’s recycling sorter was tested on 19 new waste photos and got 18 right. How many did it get wrong?
37. 37.📦 Saanvi collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
39. 39.📋 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
40. 40.📦 Rohan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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