Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 37 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
2. 2.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
3. 3.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
4. 4.📋 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
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
6. 6.📦 Saanvi collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
8. 8.📦 Ishaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
10. 10.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
11. 11.📦 Kabir collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Saanvi’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
13. 13.🎯 Nisha’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
15. 15.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
16. 16.❌ Meera’s spam spotter was tested on 49 new messages and got 42 right. How many did it get wrong?
17. 17.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
19. 19.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
20. 20.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
21. 21.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
23. 23.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
24. 24.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
25. 25.📦 Saanvi collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
27. 27.❌ Rohan’s spam spotter was tested on 26 new messages and got 18 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
29. 29.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
30. 30.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 48 right. What is its accuracy in percent?
31. 31.❌ Arjun’s spam spotter was tested on 17 new messages and got 14 right. How many did it get wrong?
32. 32.📦 Ananya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
34. 34.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
37. 37.🎯 Arjun’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
38. 38.🎯 Tara’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
39. 39.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos

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