Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 530 · 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 — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
3. 3.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
4. 4.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
5. 5.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
8. 8.🎯 Ananya’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
9. 9.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
10. 10.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
11. 11.📦 Diya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.❌ Saanvi’s leaf identifier was tested on 43 new leaf photos and got 35 right. How many did it get wrong?
13. 13.❌ Aarav’s recycling sorter was tested on 32 new waste photos and got 24 right. How many did it get wrong?
14. 14.❌ Aarav’s bird-song app was tested on 24 new bird songs and got 17 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
16. 16.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
18. 18.📦 Arjun collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
20. 20.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
21. 21.📋 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
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
25. 25.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 30 right. What is its accuracy in percent?
26. 26.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
29. 29.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
30. 30.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
32. 32.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
33. 33.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
34. 34.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
36. 36.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
39. 39.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test

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