Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 932 · 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.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
2. 2.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
3. 3.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
4. 4.📦 Arjun collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
6. 6.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
7. 7.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 42 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
9. 9.🎯 Rohan’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
10. 10.📦 Diya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 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
12. 12.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 14 right. How many percentage points more accurate is Model A?
13. 13.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 28 right. What is its accuracy in percent?
14. 14.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
15. 15.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
18. 18.🎯 Ananya’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
19. 19.❌ Saanvi’s leaf identifier was tested on 38 new leaf photos and got 30 right. How many did it get wrong?
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
21. 21.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 48 right. What is its accuracy in percent?
22. 22.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
23. 23.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 20 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
25. 25.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
26. 26.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
27. 27.📦 Diya collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Rohan’s spam spotter was tested on 43 new messages and got 36 right. How many did it get wrong?
29. 29.🧪 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
30. 30.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
31. 31.📦 Ananya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
33. 33.📋 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
34. 34.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
35. 35.📦 Saanvi collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.📦 Rohan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 47 right and Model B got 42 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
40. 40.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples

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