Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 912 · 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 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
3. 3.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
4. 4.🧪 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 save paper (d) to make it bigger
5. 5.📦 Rohan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
7. 7.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
8. 8.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
9. 9.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
10. 10.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
12. 12.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
14. 14.🎯 Arjun’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
17. 17.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
19. 19.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
21. 21.🎯 Tara’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
22. 22.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
24. 24.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
26. 26.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
28. 28.❌ Ananya’s handwriting reader was tested on 27 new handwritten letters and got 18 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
30. 30.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
31. 31.📋 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
32. 32.📋 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
33. 33.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
34. 34.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 43 right. What is its accuracy in percent?
35. 35.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
36. 36.❌ Arjun’s bird-song app was tested on 17 new bird songs and got 14 right. How many did it get wrong?
37. 37.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
38. 38.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
40. 40.📦 Ananya collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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