Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 261 · 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.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
2. 2.🧪 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
3. 3.📦 Saanvi collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Meera’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
5. 5.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
6. 6.🎯 Ananya’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
7. 7.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
8. 8.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
10. 10.📦 Saanvi collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
13. 13.📋 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
14. 14.🧪 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
15. 15.❌ Ananya’s bird-song app was tested on 35 new bird songs and got 32 right. How many did it get wrong?
16. 16.❌ Nisha’s recycling sorter was tested on 15 new waste photos and got 13 right. How many did it get wrong?
17. 17.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
18. 18.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
19. 19.📦 Saanvi collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
21. 21.❌ Diya’s recycling sorter was tested on 17 new waste photos and got 14 right. How many did it get wrong?
22. 22.🎯 Arjun’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
24. 24.📋 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
25. 25.❌ Meera’s spam spotter was tested on 44 new messages and got 43 right. How many did it get wrong?
26. 26.❌ Kabir’s handwriting reader was tested on 35 new handwritten letters and got 33 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
28. 28.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
29. 29.❌ Vihaan’s fruit sorter was tested on 22 new fruit photos and got 13 right. How many did it get wrong?
30. 30.❌ Vihaan’s spam spotter was tested on 38 new messages and got 31 right. How many did it get wrong?
31. 31.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
32. 32.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
36. 36.📦 Ishaan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Tara collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
39. 39.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
40. 40.❌ Meera’s handwriting reader was tested on 37 new handwritten letters and got 36 right. How many did it get wrong?

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