Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 209 · 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.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
2. 2.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
3. 3.❌ Meera’s spam spotter was tested on 23 new messages and got 20 right. How many did it get wrong?
4. 4.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
5. 5.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
6. 6.📦 Arjun collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
8. 8.❌ Ananya’s recycling sorter was tested on 36 new waste photos and got 33 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
10. 10.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
11. 11.📋 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
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
13. 13.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 50 right. What is its accuracy in percent?
14. 14.📦 Vihaan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 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
16. 16.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
17. 17.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
18. 18.❌ Ishaan’s bird-song app was tested on 47 new bird songs and got 45 right. How many did it get wrong?
19. 19.📦 Aarav collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 35 right and Model B got 32 right. How many percentage points more accurate is Model A?
21. 21.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
22. 22.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
23. 23.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
24. 24.🎯 Ananya’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
25. 25.📦 Rohan collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
27. 27.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
28. 28.📦 Diya collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
30. 30.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
32. 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
34. 34.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
35. 35.❌ Saanvi’s bird-song app was tested on 36 new bird songs and got 32 right. How many did it get wrong?
36. 36.❌ Saanvi’s bird-song app was tested on 25 new bird songs and got 24 right. How many did it get wrong?
37. 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
39. 39.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
40. 40.❌ Kabir’s bird-song app was tested on 20 new bird songs and got 16 right. How many did it get wrong?

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