Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 143 · 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.❌ Saanvi’s recycling sorter was tested on 30 new waste photos and got 27 right. How many did it get wrong?
2. 2.📦 Meera collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
5. 5.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
6. 6.🎯 Kabir’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
7. 7.🎯 Vihaan’s spam spotter was tested on 50 new messages and got 25 right. What is its accuracy in percent?
8. 8.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
9. 9.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
10. 10.📋 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
11. 11.🧪 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
12. 12.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
13. 13.🎯 Meera’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
14. 14.❌ Ananya’s spam spotter was tested on 23 new messages and got 18 right. How many did it get wrong?
15. 15.❌ Nisha’s leaf identifier was tested on 46 new leaf photos and got 41 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
17. 17.🧪 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
18. 18.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
19. 19.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
20. 20.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
21. 21.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
22. 22.❌ Diya’s fruit sorter was tested on 24 new fruit photos and got 21 right. How many did it get wrong?
23. 23.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
24. 24.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
25. 25.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
27. 27.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?
28. 28.🎯 Tara’s recycling sorter was tested on 50 new waste photos and got 30 right. What is its accuracy in percent?
29. 29.📦 Rohan collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
30. 30.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
31. 31.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
32. 32.❌ Aarav’s spam spotter was tested on 47 new messages and got 40 right. How many did it get wrong?
33. 33.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
35. 35.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
36. 36.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
37. 37.📦 Meera collected 40 labelled messages for a spam spotter 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.📦 Meera collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type

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