Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 599 · 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 leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?
2. 2.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
3. 3.📦 Rohan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.📦 Vihaan collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.❌ Rohan’s spam spotter was tested on 25 new messages and got 24 right. How many did it get wrong?
6. 6.📦 Rohan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
8. 8.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
9. 9.❌ Ananya’s bird-song app was tested on 17 new bird songs and got 15 right. How many did it get wrong?
10. 10.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
11. 11.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
13. 13.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
14. 14.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
15. 15.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
16. 16.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
17. 17.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
19. 19.❌ Saanvi’s handwriting reader was tested on 40 new handwritten letters and got 39 right. How many did it get wrong?
20. 20.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
21. 21.❌ Ishaan’s handwriting reader was tested on 40 new handwritten letters and got 31 right. How many did it get wrong?
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
23. 23.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
24. 24.📦 Ishaan collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Kabir’s leaf identifier was tested on 27 new leaf photos and got 21 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
27. 27.📦 Diya collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
29. 29.🎯 Tara’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.❌ Kabir’s recycling sorter was tested on 31 new waste photos and got 25 right. How many did it get wrong?
32. 32.📦 Nisha collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
35. 35.❌ Arjun’s handwriting reader was tested on 11 new handwritten letters and got 10 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
37. 37.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
38. 38.❌ Aarav’s recycling sorter was tested on 31 new waste photos and got 28 right. How many did it get wrong?
39. 39.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
40. 40.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?

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