Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 735 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
2. 2.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 11 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
4. 4.🎯 Tara’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
5. 5.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
6. 6.📦 Kabir collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
8. 8.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
9. 9.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
10. 10.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
11. 11.❌ Rohan’s leaf identifier was tested on 27 new leaf photos and got 20 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
13. 13.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
14. 14.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
15. 15.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
17. 17.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
19. 19.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
21. 21.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
23. 23.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
24. 24.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
25. 25.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
26. 26.📋 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
27. 27.📦 Rohan 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.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
29. 29.📦 Vihaan collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.📦 Tara collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
34. 34.❌ Meera’s leaf identifier was tested on 37 new leaf photos and got 29 right. How many did it get wrong?
35. 35.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
36. 36.📋 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
37. 37.❌ Vihaan’s bird-song app was tested on 18 new bird songs and got 17 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
39. 39.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
40. 40.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model

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