Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 138 · 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.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
2. 2.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
3. 3.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
4. 4.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
6. 6.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
7. 7.🎯 Rohan’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
8. 8.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
9. 9.🎯 Diya’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
11. 11.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
13. 13.🎯 Kabir’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
14. 14.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
15. 15.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
17. 17.📋 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
18. 18.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
19. 19.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
20. 20.❌ Aarav’s recycling sorter was tested on 18 new waste photos and got 17 right. How many did it get wrong?
21. 21.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
22. 22.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
24. 24.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
25. 25.📋 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
26. 26.📦 Ishaan collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
28. 28.❌ Kabir’s handwriting reader was tested on 27 new handwritten letters and got 21 right. How many did it get wrong?
29. 29.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
31. 31.❌ Nisha’s bird-song app was tested on 28 new bird songs and got 23 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
33. 33.🧪 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
34. 34.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
35. 35.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
36. 36.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
37. 37.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
39. 39.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
40. 40.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?

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