Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 2 · 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 handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
2. 2.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
3. 3.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
4. 4.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
5. 5.🧪 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
6. 6.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
7. 7.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
8. 8.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
9. 9.📋 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
10. 10.❌ Diya’s handwriting reader was tested on 33 new handwritten letters and got 28 right. How many did it get wrong?
11. 11.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
12. 12.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
14. 14.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
16. 16.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
17. 17.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
18. 18.❌ Nisha’s bird-song app was tested on 20 new bird songs and got 14 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
20. 20.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
23. 23.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
26. 26.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
27. 27.❌ Vihaan’s leaf identifier was tested on 40 new leaf photos and got 39 right. How many did it get wrong?
28. 28.🎯 Nisha’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
29. 29.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
31. 31.❌ Rohan’s leaf identifier was tested on 22 new leaf photos and got 21 right. How many did it get wrong?
32. 32.📦 Meera collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Kabir’s handwriting reader was tested on 34 new handwritten letters and got 27 right. How many did it get wrong?
34. 34.🎯 Ananya’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
37. 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
38. 38.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
40. 40.❌ Saanvi’s recycling sorter was tested on 33 new waste photos and got 29 right. How many did it get wrong?

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