Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 436 · 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 handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
4. 4.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
5. 5.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
6. 6.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
7. 7.🎯 Aarav’s spam spotter was tested on 50 new messages and got 30 right. What is its accuracy in percent?
8. 8.📦 Arjun collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
10. 10.📦 Rohan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
12. 12.📦 Saanvi collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Saanvi’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
14. 14.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
15. 15.📦 Diya collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Aarav collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
18. 18.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
19. 19.❌ Vihaan’s spam spotter was tested on 31 new messages and got 23 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
21. 21.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
22. 22.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
24. 24.❌ Diya’s spam spotter was tested on 26 new messages and got 23 right. How many did it get wrong?
25. 25.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
28. 28.⚖️ 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?
29. 29.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
30. 30.📋 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
31. 31.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
32. 32.📦 Nisha collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
34. 34.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
35. 35.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
36. 36.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
38. 38.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
39. 39.📦 Arjun collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
40. 40.❌ Arjun’s handwriting reader was tested on 36 new handwritten letters and got 27 right. How many did it get wrong?

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