Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 409 · 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.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
3. 3.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
4. 4.📋 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
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
7. 7.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
8. 8.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
9. 9.📦 Ananya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Vihaan’s fruit sorter was tested on 28 new fruit photos and got 25 right. How many did it get wrong?
11. 11.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
12. 12.❌ Diya’s recycling sorter was tested on 38 new waste photos and got 32 right. How many did it get wrong?
13. 13.📦 Vihaan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Aarav’s fruit sorter was tested on 39 new fruit photos and got 35 right. How many did it get wrong?
15. 15.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
17. 17.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
19. 19.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 25 right. What is its accuracy in percent?
20. 20.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
21. 21.📦 Diya collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
23. 23.📋 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
24. 24.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
26. 26.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
27. 27.❌ Ishaan’s bird-song app was tested on 32 new bird songs and got 30 right. How many did it get wrong?
28. 28.❌ Ananya’s handwriting reader was tested on 41 new handwritten letters and got 33 right. How many did it get wrong?
29. 29.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
31. 31.🎯 Arjun’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
32. 32.🎯 Nisha’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
33. 33.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
34. 34.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
36. 36.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
38. 38.📦 Arjun collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
40. 40.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?

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