Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 563 · 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.📦 Meera collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Ananya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
3. 3.📦 Nisha collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 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
5. 5.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
7. 7.❌ Nisha’s spam spotter was tested on 19 new messages and got 11 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
9. 9.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
10. 10.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
11. 11.❌ Ananya’s recycling sorter was tested on 26 new waste photos and got 18 right. How many did it get wrong?
12. 12.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
13. 13.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
14. 14.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
15. 15.🎯 Ananya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
16. 16.❌ Meera’s leaf identifier was tested on 36 new leaf photos and got 30 right. How many did it get wrong?
17. 17.📋 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
18. 18.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
19. 19.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
21. 21.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
22. 22.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
24. 24.📋 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
25. 25.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
26. 26.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
28. 28.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
29. 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
30. 30.📦 Arjun collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
32. 32.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
33. 33.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
34. 34.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
36. 36.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
38. 38.📦 Kabir collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
39. 39.❌ Aarav’s recycling sorter was tested on 41 new waste photos and got 40 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples

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