Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 921 · 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.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 47 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
3. 3.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 45 right. What is its accuracy in percent?
4. 4.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 45 right. What is its accuracy in percent?
5. 5.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
6. 6.📋 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
7. 7.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 25 right. What is its accuracy in percent?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
9. 9.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
11. 11.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
12. 12.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
13. 13.📋 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
14. 14.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
15. 15.🧪 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
16. 16.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?
17. 17.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
18. 18.📦 Saanvi collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
21. 21.🎯 Ananya’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?
22. 22.📦 Tara collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Tara collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Kabir’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
26. 26.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
27. 27.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
29. 29.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
30. 30.📦 Aarav collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
33. 33.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
34. 34.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
35. 35.❌ Meera’s bird-song app was tested on 28 new bird songs and got 23 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
37. 37.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
38. 38.📦 Meera collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 29 right. What is its accuracy in percent?
40. 40.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples

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