Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 414 · 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.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
2. 2.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
3. 3.❌ Rohan’s bird-song app was tested on 43 new bird songs and got 35 right. How many did it get wrong?
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
5. 5.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 33 right. What is its accuracy in percent?
6. 6.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
8. 8.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
9. 9.📦 Ananya collected 70 labelled bird songs for a bird-song app 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 improve data, retest? (a) try unseen examples (b) improve data, retest
11. 11.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
12. 12.📦 Ishaan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Aarav collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
15. 15.🎯 Tara’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
18. 18.🎯 Arjun’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
20. 20.❌ Meera’s bird-song app was tested on 27 new bird songs and got 18 right. How many did it get wrong?
21. 21.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
23. 23.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
26. 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
27. 27.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
29. 29.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 11 right. How many percentage points more accurate is Model A?
32. 32.❌ Nisha’s fruit sorter was tested on 30 new fruit photos and got 29 right. How many did it get wrong?
33. 33.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
35. 35.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
36. 36.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
37. 37.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 26 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
39. 39.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
40. 40.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?

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