Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 453 · 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 46 right. How many percentage points more accurate is Model A?
2. 2.📦 Tara collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
5. 5.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
6. 6.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 18 right. What is its accuracy in percent?
7. 7.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
8. 8.📦 Tara collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
10. 10.🎯 Nisha’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
11. 11.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
12. 12.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
13. 13.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
14. 14.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
16. 16.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
17. 17.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
19. 19.❌ Ishaan’s leaf identifier was tested on 15 new leaf photos and got 12 right. How many did it get wrong?
20. 20.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
22. 22.📦 Rohan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
24. 24.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
25. 25.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
26. 26.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 40 right and Model B got 36 right. How many percentage points more accurate is Model A?
27. 27.❌ Nisha’s leaf identifier was tested on 42 new leaf photos and got 37 right. How many did it get wrong?
28. 28.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 38 right. What is its accuracy in percent?
29. 29.📦 Saanvi collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
30. 30.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
32. 32.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
33. 33.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
34. 34.📦 Kabir collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Rohan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 24 right. What is its accuracy in percent?
37. 37.🎯 Tara’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
38. 38.❌ Ishaan’s fruit sorter was tested on 26 new fruit photos and got 21 right. How many did it get wrong?
39. 39.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest

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