Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 104 · 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 leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
4. 4.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
5. 5.📦 Rohan collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
8. 8.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
9. 9.❌ Aarav’s spam spotter was tested on 40 new messages and got 36 right. How many did it get wrong?
10. 10.❌ Ishaan’s handwriting reader was tested on 32 new handwritten letters and got 30 right. How many did it get wrong?
11. 11.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
12. 12.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 31 right. How many percentage points more accurate is Model A?
13. 13.❌ Diya’s recycling sorter was tested on 30 new waste photos and got 22 right. How many did it get wrong?
14. 14.❌ Rohan’s fruit sorter was tested on 29 new fruit photos and got 25 right. How many did it get wrong?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
16. 16.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
18. 18.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
19. 19.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
20. 20.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
21. 21.❌ Nisha’s bird-song app was tested on 20 new bird songs and got 16 right. How many did it get wrong?
22. 22.📋 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
23. 23.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
24. 24.❌ Nisha’s spam spotter was tested on 27 new messages and got 24 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
27. 27.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
28. 28.❌ Tara’s fruit sorter was tested on 22 new fruit photos and got 19 right. How many did it get wrong?
29. 29.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
30. 30.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 50 right. What is its accuracy in percent?
31. 31.📦 Tara collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
33. 33.🎯 Saanvi’s recycling sorter was tested on 25 new waste photos and got 22 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
35. 35.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
36. 36.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
38. 38.📋 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
39. 39.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again

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