Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 146 · 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.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
2. 2.📋 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
3. 3.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
4. 4.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 43 right. What is its accuracy in percent?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
6. 6.❌ Meera’s recycling sorter was tested on 49 new waste photos and got 47 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
8. 8.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
10. 10.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
11. 11.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
12. 12.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
13. 13.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
14. 14.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
15. 15.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
20. 20.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
21. 21.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
22. 22.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 20 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
24. 24.🎯 Arjun’s handwriting reader was tested on 50 new handwritten letters and got 41 right. What is its accuracy in percent?
25. 25.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
26. 26.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
27. 27.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
29. 29.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
30. 30.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
31. 31.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
32. 32.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
34. 34.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
35. 35.📦 Aarav collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Tara’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
38. 38.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
39. 39.❌ Tara’s spam spotter was tested on 16 new messages and got 10 right. How many did it get wrong?
40. 40.📦 Vihaan collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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