Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 41 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
2. 2.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
3. 3.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
4. 4.❌ Ananya’s fruit sorter was tested on 42 new fruit photos and got 34 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
6. 6.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
8. 8.📦 Kabir collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Tara collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
11. 11.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
12. 12.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
13. 13.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
14. 14.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
15. 15.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
16. 16.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
17. 17.❌ Meera’s recycling sorter was tested on 34 new waste photos and got 28 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
19. 19.❌ Diya’s bird-song app was tested on 30 new bird songs and got 24 right. How many did it get wrong?
20. 20.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
22. 22.❌ Arjun’s bird-song app was tested on 40 new bird songs and got 31 right. How many did it get wrong?
23. 23.🎯 Tara’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
25. 25.🎯 Rohan’s handwriting reader was tested on 50 new handwritten letters and got 27 right. What is its accuracy in percent?
26. 26.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 20 right. What is its accuracy in percent?
27. 27.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
28. 28.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
30. 30.📋 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
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
32. 32.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
33. 33.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
34. 34.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
35. 35.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 30 right and Model B got 26 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
37. 37.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
38. 38.❌ Ishaan’s leaf identifier was tested on 29 new leaf photos and got 24 right. How many did it get wrong?
39. 39.📋 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
40. 40.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?

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