Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 458 · 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.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
3. 3.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
4. 4.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
5. 5.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
7. 7.🎯 Tara’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
9. 9.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
10. 10.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
12. 12.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
13. 13.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
15. 15.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
17. 17.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
18. 18.❌ Saanvi’s bird-song app was tested on 30 new bird songs and got 22 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
21. 21.❌ Arjun’s handwriting reader was tested on 33 new handwritten letters and got 32 right. How many did it get wrong?
22. 22.❌ Saanvi’s recycling sorter was tested on 33 new waste photos and got 30 right. How many did it get wrong?
23. 23.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 90 new messages, how many should it get right?
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
25. 25.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
26. 26.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
27. 27.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
28. 28.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Saanvi collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Ananya’s bird-song app was tested on 41 new bird songs and got 35 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
32. 32.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
33. 33.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
35. 35.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
36. 36.🎯 Ishaan’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
37. 37.❌ Nisha’s fruit sorter was tested on 47 new fruit photos and got 43 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
39. 39.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
40. 40.❌ Meera’s spam spotter was tested on 28 new messages and got 27 right. How many did it get wrong?

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students