Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 15 · 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 50 leaf photos. Model A got 45 right and Model B got 25 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
3. 3.📦 Aarav collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
5. 5.❌ Diya’s recycling sorter was tested on 22 new waste photos and got 14 right. How many did it get wrong?
6. 6.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
7. 7.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
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.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
10. 10.❌ Ishaan’s fruit sorter was tested on 35 new fruit photos and got 34 right. How many did it get wrong?
11. 11.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
12. 12.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?
13. 13.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
14. 14.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
15. 15.🧪 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 bigger (d) to make it faster
16. 16.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
17. 17.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
18. 18.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
20. 20.❌ Nisha’s spam spotter was tested on 41 new messages and got 40 right. How many did it get wrong?
21. 21.❌ Aarav’s spam spotter was tested on 26 new messages and got 23 right. How many did it get wrong?
22. 22.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
23. 23.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
24. 24.❌ Tara’s spam spotter was tested on 18 new messages and got 13 right. How many did it get wrong?
25. 25.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
26. 26.❌ Tara’s handwriting reader was tested on 32 new handwritten letters and got 25 right. How many did it get wrong?
27. 27.📦 Ananya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
29. 29.❌ Saanvi’s spam spotter was tested on 35 new messages and got 34 right. How many did it get wrong?
30. 30.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
31. 31.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
33. 33.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 14 right and Model B got 12 right. How many percentage points more accurate is Model A?
34. 34.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
36. 36.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
37. 37.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
38. 38.📦 Tara collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
40. 40.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?

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