Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 256 · 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 − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
3. 3.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
4. 4.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 40 right. How many percentage points more accurate is Model A?
5. 5.❌ Ishaan’s leaf identifier was tested on 49 new leaf photos and got 48 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
7. 7.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
8. 8.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
10. 10.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
11. 11.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
12. 12.📦 Meera collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
14. 14.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
15. 15.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
17. 17.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
18. 18.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
20. 20.📋 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
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
22. 22.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
23. 23.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
24. 24.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
25. 25.⚖️ 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?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
28. 28.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
29. 29.🎯 Ishaan’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
30. 30.🎯 Tara’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
32. 32.📦 Nisha collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Aarav’s recycling sorter was tested on 50 new waste photos and got 47 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
35. 35.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
36. 36.❌ Nisha’s handwriting reader was tested on 34 new handwritten letters and got 27 right. How many did it get wrong?
37. 37.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
38. 38.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
39. 39.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
40. 40.❌ Meera’s bird-song app was tested on 27 new bird songs and got 21 right. How many did it get wrong?

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