Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 128 · 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.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
2. 2.📋 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
3. 3.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
4. 4.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
5. 5.📦 Aarav collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 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 — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
8. 8.❌ Ananya’s fruit sorter was tested on 42 new fruit photos and got 33 right. How many did it get wrong?
9. 9.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
10. 10.❌ Ishaan’s handwriting reader was tested on 50 new handwritten letters and got 47 right. How many did it get wrong?
11. 11.📦 Ananya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
14. 14.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
15. 15.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
17. 17.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
18. 18.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
20. 20.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
21. 21.🎯 Meera’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
22. 22.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
23. 23.❌ Aarav’s leaf identifier was tested on 47 new leaf photos and got 38 right. How many did it get wrong?
24. 24.📋 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
25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
26. 26.🎯 Kabir’s spam spotter was tested on 20 new messages and got 10 right. What is its accuracy in percent?
27. 27.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
28. 28.📦 Nisha collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
30. 30.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
33. 33.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
34. 34.🎯 Nisha’s spam spotter was tested on 50 new messages and got 29 right. What is its accuracy in percent?
35. 35.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
36. 36.❌ Kabir’s spam spotter was tested on 32 new messages and got 28 right. How many did it get wrong?
37. 37.❌ Ishaan’s spam spotter was tested on 40 new messages and got 37 right. How many did it get wrong?
38. 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
39. 39.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test

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