Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 742 · 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.❌ Ishaan’s fruit sorter was tested on 47 new fruit photos and got 45 right. How many did it get wrong?
2. 2.🎯 Arjun’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
5. 5.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
6. 6.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
8. 8.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
9. 9.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
10. 10.📦 Diya collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📦 Arjun collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
14. 14.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
15. 15.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 17 right. How many percentage points more accurate is Model A?
16. 16.❌ Nisha’s recycling sorter was tested on 17 new waste photos and got 14 right. How many did it get wrong?
17. 17.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
18. 18.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
19. 19.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
21. 21.❌ Meera’s spam spotter was tested on 13 new messages and got 11 right. How many did it get wrong?
22. 22.📦 Tara collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
25. 25.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
26. 26.📦 Kabir collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
28. 28.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
29. 29.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 10 right. What is its accuracy in percent?
30. 30.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 19 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
32. 32.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
36. 36.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
37. 37.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
39. 39.❌ Tara’s leaf identifier was tested on 22 new leaf photos and got 16 right. How many did it get wrong?
40. 40.🎯 Aarav’s handwriting reader was tested on 25 new handwritten letters and got 20 right. What is its accuracy in percent?

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