Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 412 · 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) nothing at all (c) a secret password (d) only a big robot
2. 2.🎯 Rohan’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
3. 3.🧪 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
4. 4.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
5. 5.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
7. 7.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
8. 8.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
10. 10.❌ Arjun’s bird-song app was tested on 21 new bird songs and got 16 right. How many did it get wrong?
11. 11.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 20 right. What is its accuracy in percent?
12. 12.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
13. 13.❌ Nisha’s spam spotter was tested on 32 new messages and got 24 right. How many did it get wrong?
14. 14.📋 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
15. 15.📦 Aarav collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
17. 17.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
18. 18.📦 Aarav collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Nisha collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Tara’s spam spotter was tested on 50 new messages and got 27 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
23. 23.📦 Diya collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
25. 25.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
27. 27.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
28. 28.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 15 right. How many percentage points more accurate is Model A?
29. 29.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
30. 30.❌ Tara’s recycling sorter was tested on 44 new waste photos and got 43 right. How many did it get wrong?
31. 31.📦 Meera collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Aarav’s leaf identifier was tested on 40 new leaf photos and got 39 right. How many did it get wrong?
33. 33.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
34. 34.❌ Nisha’s fruit sorter was tested on 42 new fruit photos and got 41 right. How many did it get wrong?
35. 35.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
36. 36.📦 Vihaan collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Saanvi’s bird-song app was tested on 50 new bird songs and got 35 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
39. 39.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
40. 40.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?

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