Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 173 · 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.📦 Diya collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
3. 3.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
4. 4.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
6. 6.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
7. 7.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
8. 8.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
9. 9.📦 Ananya collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
11. 11.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
13. 13.🎯 Nisha’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
14. 14.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
16. 16.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 34 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
20. 20.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
21. 21.📦 Vihaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
23. 23.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
24. 24.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 30 right. What is its accuracy in percent?
25. 25.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
26. 26.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
27. 27.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 45 right. How many percentage points more accurate is Model A?
28. 28.❌ Ananya’s spam spotter was tested on 20 new messages and got 11 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
30. 30.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 33 right and Model B got 28 right. How many percentage points more accurate is Model A?
31. 31.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
32. 32.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
33. 33.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
35. 35.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
36. 36.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 20 right. What is its accuracy in percent?
37. 37.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
38. 38.📋 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
39. 39.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
40. 40.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?

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