Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 3 · 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 recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
2. 2.🎯 Aarav’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
3. 3.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
5. 5.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
6. 6.🧪 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
7. 7.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 25 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
9. 9.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
10. 10.🧪 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
11. 11.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
12. 12.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
13. 13.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
14. 14.📦 Ishaan collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 27 right. What is its accuracy in percent?
16. 16.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
17. 17.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 60 new waste photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
19. 19.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
21. 21.❌ Vihaan’s fruit sorter was tested on 11 new fruit photos and got 10 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
23. 23.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
24. 24.❌ Vihaan’s leaf identifier was tested on 17 new leaf photos and got 15 right. How many did it get wrong?
25. 25.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
27. 27.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
29. 29.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
30. 30.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
31. 31.❌ Meera’s handwriting reader was tested on 43 new handwritten letters and got 40 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
33. 33.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
34. 34.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
35. 35.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
36. 36.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
38. 38.❌ Diya’s bird-song app was tested on 15 new bird songs and got 11 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
40. 40.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 35 right and Model B got 33 right. How many percentage points more accurate is Model A?

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