Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 534 · 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 — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
3. 3.❌ Kabir’s recycling sorter was tested on 28 new waste photos and got 26 right. How many did it get wrong?
4. 4.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
5. 5.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
7. 7.📦 Rohan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.❌ Vihaan’s fruit sorter was tested on 30 new fruit photos and got 21 right. How many did it get wrong?
9. 9.❌ Kabir’s handwriting reader was tested on 19 new handwritten letters and got 14 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
11. 11.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
13. 13.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
14. 14.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
15. 15.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
16. 16.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 11 right. How many percentage points more accurate is Model A?
17. 17.🧪 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
18. 18.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
19. 19.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
20. 20.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
21. 21.📋 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
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
23. 23.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
24. 24.📦 Aarav collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Kabir’s spam spotter was tested on 36 new messages and got 33 right. How many did it get wrong?
26. 26.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
28. 28.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
29. 29.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
30. 30.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
32. 32.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
33. 33.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
34. 34.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
35. 35.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
36. 36.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
38. 38.📦 Rohan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📦 Saanvi collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 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

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