Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 64 · 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) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
2. 2.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
3. 3.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
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.❌ Ananya’s recycling sorter was tested on 16 new waste photos and got 13 right. How many did it get wrong?
6. 6.❌ Diya’s bird-song app was tested on 20 new bird songs and got 18 right. How many did it get wrong?
7. 7.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
8. 8.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
9. 9.📦 Aarav collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
12. 12.📦 Diya collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Ananya’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
15. 15.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
16. 16.🎯 Tara’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
18. 18.❌ Kabir’s leaf identifier was tested on 48 new leaf photos and got 41 right. How many did it get wrong?
19. 19.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
20. 20.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
21. 21.❌ Rohan’s spam spotter was tested on 40 new messages and got 31 right. How many did it get wrong?
22. 22.📦 Ananya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
25. 25.❌ Saanvi’s spam spotter was tested on 20 new messages and got 14 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
27. 27.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
28. 28.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
29. 29.❌ Nisha’s handwriting reader was tested on 43 new handwritten letters and got 35 right. How many did it get wrong?
30. 30.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
31. 31.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
33. 33.❌ Meera’s handwriting reader was tested on 45 new handwritten letters and got 40 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
35. 35.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
36. 36.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
37. 37.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
38. 38.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
39. 39.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
40. 40.📦 Saanvi collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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