Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 859 · 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.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
2. 2.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
3. 3.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
4. 4.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
5. 5.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
6. 6.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
7. 7.🧪 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
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
9. 9.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
10. 10.📦 Vihaan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.❌ Rohan’s recycling sorter was tested on 21 new waste photos and got 12 right. How many did it get wrong?
12. 12.❌ Vihaan’s recycling sorter was tested on 29 new waste photos and got 24 right. How many did it get wrong?
13. 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
14. 14.📋 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
15. 15.❌ Aarav’s fruit sorter was tested on 46 new fruit photos and got 40 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
17. 17.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
18. 18.🎯 Nisha’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
19. 19.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 38 right and Model B got 35 right. How many percentage points more accurate is Model A?
20. 20.❌ Kabir’s spam spotter was tested on 26 new messages and got 22 right. How many did it get wrong?
21. 21.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
22. 22.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
24. 24.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
25. 25.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
28. 28.📋 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
29. 29.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
30. 30.❌ Diya’s leaf identifier was tested on 31 new leaf photos and got 29 right. How many did it get wrong?
31. 31.❌ Rohan’s fruit sorter was tested on 20 new fruit photos and got 19 right. How many did it get wrong?
32. 32.❌ Arjun’s leaf identifier was tested on 15 new leaf photos and got 10 right. How many did it get wrong?
33. 33.📦 Rohan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Rohan’s bird-song app was tested on 48 new bird songs and got 41 right. How many did it get wrong?
35. 35.❌ Ishaan’s handwriting reader was tested on 27 new handwritten letters and got 26 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
38. 38.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
39. 39.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
40. 40.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort

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