Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 795 · 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 fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 44 right. How many percentage points more accurate is Model A?
2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
5. 5.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
6. 6.❌ Ishaan’s bird-song app was tested on 46 new bird songs and got 41 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
8. 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
9. 9.📦 Diya collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
11. 11.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
13. 13.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
14. 14.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
15. 15.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
16. 16.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
17. 17.❌ Rohan’s recycling sorter was tested on 50 new waste photos and got 48 right. How many did it get wrong?
18. 18.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
20. 20.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
22. 22.❌ Ananya’s fruit sorter was tested on 28 new fruit photos and got 24 right. How many did it get wrong?
23. 23.📋 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
24. 24.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
25. 25.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
26. 26.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
27. 27.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
29. 29.❌ Meera’s handwriting reader was tested on 49 new handwritten letters and got 41 right. How many did it get wrong?
30. 30.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
32. 32.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
34. 34.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
36. 36.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
37. 37.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
39. 39.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
40. 40.🎯 Arjun’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?

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