Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 42 · 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 louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
2. 2.🧪 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 faster (d) to make it bigger
3. 3.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
5. 5.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
6. 6.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
8. 8.🎯 Aarav’s spam spotter was tested on 20 new messages and got 14 right. What is its accuracy in percent?
9. 9.📦 Tara collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
11. 11.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
12. 12.📦 Meera collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
14. 14.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
15. 15.🎯 Nisha’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
17. 17.🎯 Arjun’s leaf identifier was tested on 50 new leaf photos and got 39 right. What is its accuracy in percent?
18. 18.📦 Vihaan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
21. 21.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
23. 23.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
24. 24.❌ Nisha’s bird-song app was tested on 20 new bird songs and got 14 right. How many did it get wrong?
25. 25.📦 Meera collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
27. 27.🎯 Saanvi’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
28. 28.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
30. 30.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
32. 32.📋 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
33. 33.❌ Vihaan’s spam spotter was tested on 24 new messages and got 21 right. How many did it get wrong?
34. 34.📦 Kabir collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Meera collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 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
37. 37.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
38. 38.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
39. 39.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
40. 40.📋 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

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