Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 471 · 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 tag each photo by type? (a) pick a question to solve (b) tag each photo by type
2. 2.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 29 right and Model B got 28 right. How many percentage points more accurate is Model A?
3. 3.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
4. 4.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
5. 5.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
7. 7.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
8. 8.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
9. 9.📦 Rohan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
11. 11.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
13. 13.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
15. 15.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
16. 16.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
17. 17.❌ Meera’s fruit sorter was tested on 28 new fruit photos and got 21 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
19. 19.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
20. 20.📦 Rohan collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.📦 Vihaan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 46 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
24. 24.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
25. 25.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
26. 26.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
27. 27.📦 Diya collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
29. 29.📦 Tara collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
31. 31.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
32. 32.📋 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
33. 33.❌ Tara’s bird-song app was tested on 25 new bird songs and got 18 right. How many did it get wrong?
34. 34.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
36. 36.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
38. 38.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
39. 39.🎯 Ishaan’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
40. 40.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 33 right. How many percentage points more accurate is Model A?

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