Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 110 · 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 — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
2. 2.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
3. 3.🎯 Nisha’s handwriting reader was tested on 10 new handwritten letters and got 10 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
5. 5.❌ Kabir’s handwriting reader was tested on 34 new handwritten letters and got 28 right. How many did it get wrong?
6. 6.❌ Aarav’s recycling sorter was tested on 21 new waste photos and got 17 right. How many did it get wrong?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
8. 8.📦 Ananya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Tara collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Arjun’s fruit sorter was tested on 36 new fruit photos and got 35 right. How many did it get wrong?
11. 11.❌ Diya’s handwriting reader was tested on 37 new handwritten letters and got 34 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
13. 13.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
15. 15.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
17. 17.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
19. 19.📦 Aarav collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Diya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
22. 22.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
23. 23.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
25. 25.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
26. 26.❌ Nisha’s bird-song app was tested on 42 new bird songs and got 39 right. How many did it get wrong?
27. 27.📦 Ananya collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
29. 29.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
30. 30.🎯 Diya’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
31. 31.📋 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
32. 32.❌ Aarav’s bird-song app was tested on 31 new bird songs and got 24 right. How many did it get wrong?
33. 33.📋 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
34. 34.❌ Arjun’s bird-song app was tested on 17 new bird songs and got 10 right. How many did it get wrong?
35. 35.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
36. 36.📋 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
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
39. 39.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
40. 40.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos

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