Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 651 · 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 — fix it and test again or train the model? (a) fix it and test again (b) train the model
2. 2.📦 Meera collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
4. 4.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
6. 6.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
8. 8.📦 Diya collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
10. 10.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
11. 11.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
12. 12.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
13. 13.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
14. 14.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
15. 15.❌ Aarav’s spam spotter was tested on 30 new messages and got 22 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
18. 18.📦 Rohan collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
20. 20.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
23. 23.📋 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
24. 24.📦 Nisha collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Vihaan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
27. 27.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
29. 29.📦 Rohan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
31. 31.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
32. 32.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
33. 33.❌ Saanvi’s leaf identifier was tested on 18 new leaf photos and got 11 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
35. 35.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
36. 36.❌ Diya’s bird-song app was tested on 25 new bird songs and got 21 right. How many did it get wrong?
37. 37.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
38. 38.🎯 Ishaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
39. 39.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
40. 40.📦 Arjun collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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