Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 367 · 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 — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
3. 3.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 14 right and Model B got 12 right. How many percentage points more accurate is Model A?
4. 4.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
5. 5.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
6. 6.📦 Ishaan collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.📦 Diya collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
9. 9.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
11. 11.🎯 Diya’s spam spotter was tested on 25 new messages and got 23 right. What is its accuracy in percent?
12. 12.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 38 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
14. 14.🧪 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 make it faster (d) to save paper
15. 15.🎯 Nisha’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
17. 17.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
18. 18.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
19. 19.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
20. 20.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
21. 21.❌ Rohan’s spam spotter was tested on 49 new messages and got 44 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
23. 23.📦 Aarav collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Tara’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
25. 25.❌ Kabir’s fruit sorter was tested on 46 new fruit photos and got 42 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
27. 27.❌ Aarav’s leaf identifier was tested on 45 new leaf photos and got 40 right. How many did it get wrong?
28. 28.📋 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
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
30. 30.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
32. 32.📋 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
33. 33.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
34. 34.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
36. 36.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 18 right. How many percentage points more accurate is Model A?
37. 37.❌ Vihaan’s bird-song app was tested on 50 new bird songs and got 47 right. How many did it get wrong?
38. 38.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
40. 40.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?

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