Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 171 · 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.📦 Vihaan collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Ishaan collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
4. 4.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
6. 6.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 26 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
8. 8.❌ Kabir’s fruit sorter was tested on 31 new fruit photos and got 28 right. How many did it get wrong?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
10. 10.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 34 right. What is its accuracy in percent?
11. 11.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
13. 13.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
14. 14.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
15. 15.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
17. 17.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
19. 19.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
22. 22.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
23. 23.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
24. 24.❌ Aarav’s fruit sorter was tested on 30 new fruit photos and got 22 right. How many did it get wrong?
25. 25.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
26. 26.❌ Meera’s recycling sorter was tested on 33 new waste photos and got 31 right. How many did it get wrong?
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
29. 29.📦 Nisha collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 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
31. 31.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
32. 32.📋 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
33. 33.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
34. 34.📋 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
35. 35.📦 Meera collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
37. 37.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 45 right and Model B got 41 right. How many percentage points more accurate is Model A?
38. 38.🎯 Kabir’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
39. 39.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
40. 40.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?

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