Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 793 · 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.📦 Rohan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.❌ Vihaan’s handwriting reader was tested on 40 new handwritten letters and got 33 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
5. 5.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
7. 7.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
8. 8.📦 Nisha collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
11. 11.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
13. 13.📦 Kabir collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
15. 15.❌ Ishaan’s leaf identifier was tested on 18 new leaf photos and got 14 right. How many did it get wrong?
16. 16.🎯 Rohan’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
20. 20.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
21. 21.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
22. 22.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
24. 24.❌ Nisha’s fruit sorter was tested on 48 new fruit photos and got 47 right. How many did it get wrong?
25. 25.🎯 Meera’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
27. 27.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
29. 29.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
30. 30.📦 Ananya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Tara’s bird-song app was tested on 23 new bird songs and got 18 right. How many did it get wrong?
32. 32.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
34. 34.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
35. 35.📋 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
36. 36.❌ Diya’s spam spotter was tested on 41 new messages and got 32 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
38. 38.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
39. 39.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
40. 40.🎯 Nisha’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?

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