Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 987 · 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 bigger (b) to see if it learned (c) to make it faster (d) to save paper
2. 2.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 32 right and Model B got 30 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
5. 5.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
7. 7.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
8. 8.❌ Meera’s leaf identifier was tested on 13 new leaf photos and got 10 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
10. 10.📋 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
11. 11.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
12. 12.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
13. 13.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
14. 14.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
16. 16.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
18. 18.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
20. 20.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
21. 21.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
24. 24.📋 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
25. 25.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
26. 26.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
28. 28.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
30. 30.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
31. 31.📦 Ananya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
33. 33.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
34. 34.📦 Arjun collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Vihaan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Nisha’s fruit sorter was tested on 47 new fruit photos and got 42 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
38. 38.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
40. 40.📋 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

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