Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 429 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
2. 2.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
3. 3.📋 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
4. 4.🧪 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
5. 5.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
6. 6.❌ Nisha’s recycling sorter was tested on 14 new waste photos and got 10 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
8. 8.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
10. 10.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
11. 11.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
13. 13.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
14. 14.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
15. 15.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
17. 17.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
18. 18.❌ Tara’s recycling sorter was tested on 44 new waste photos and got 36 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
20. 20.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
21. 21.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
22. 22.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
24. 24.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
26. 26.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
27. 27.❌ Meera’s fruit sorter was tested on 29 new fruit photos and got 28 right. How many did it get wrong?
28. 28.❌ Ishaan’s handwriting reader was tested on 33 new handwritten letters and got 32 right. How many did it get wrong?
29. 29.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 18 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
31. 31.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
32. 32.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
34. 34.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
35. 35.❌ Tara’s recycling sorter was tested on 25 new waste photos and got 19 right. How many did it get wrong?
36. 36.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
37. 37.📦 Meera collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Diya’s fruit sorter was tested on 30 new fruit photos and got 27 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
40. 40.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest

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