Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 693 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
2. 2.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
3. 3.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 47 right and Model B got 45 right. How many percentage points more accurate is Model A?
4. 4.📋 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
5. 5.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
7. 7.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 45 right. How many percentage points more accurate is Model A?
8. 8.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
10. 10.📦 Kabir collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
12. 12.📋 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
13. 13.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
14. 14.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
15. 15.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
16. 16.📋 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
17. 17.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
18. 18.📋 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
19. 19.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
20. 20.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
23. 23.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
24. 24.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
25. 25.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
26. 26.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
27. 27.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
28. 28.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 40 new messages, how many should it get right?
29. 29.⚖️ 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?
30. 30.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
31. 31.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 42 right. What is its accuracy in percent?
32. 32.❌ Ananya’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
35. 35.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
36. 36.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
37. 37.❌ Aarav’s bird-song app was tested on 49 new bird songs and got 44 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
39. 39.❌ Rohan’s fruit sorter was tested on 20 new fruit photos and got 12 right. How many did it get wrong?
40. 40.📦 Aarav collected 110 labelled fruit photos for a fruit sorter 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