Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 153 · 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) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
2. 2.❌ Rohan’s bird-song app was tested on 28 new bird songs and got 22 right. How many did it get wrong?
3. 3.🧪 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 save paper (d) to make it faster
4. 4.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
5. 5.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 13 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
7. 7.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
8. 8.🎯 Diya’s fruit sorter was tested on 25 new fruit photos and got 17 right. What is its accuracy in percent?
9. 9.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
10. 10.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
11. 11.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
13. 13.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
14. 14.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
15. 15.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
16. 16.📦 Arjun collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
18. 18.📦 Rohan collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
20. 20.❌ Kabir’s fruit sorter was tested on 50 new fruit photos and got 44 right. How many did it get wrong?
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
23. 23.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
25. 25.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
26. 26.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
27. 27.❌ Meera’s spam spotter was tested on 32 new messages and got 28 right. How many did it get wrong?
28. 28.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
30. 30.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
31. 31.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
33. 33.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
35. 35.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
36. 36.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
38. 38.📦 Ishaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
40. 40.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?

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