Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 342 · 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.🧪 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
2. 2.📋 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
3. 3.🎯 Arjun’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
5. 5.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
6. 6.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
7. 7.📋 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
8. 8.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 45 right. What is its accuracy in percent?
9. 9.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 44 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
11. 11.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
13. 13.📦 Ananya collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
15. 15.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
16. 16.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
17. 17.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
20. 20.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
22. 22.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
23. 23.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
24. 24.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
25. 25.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
27. 27.📦 Kabir collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Meera’s fruit sorter was tested on 50 new fruit photos and got 41 right. How many did it get wrong?
29. 29.🎯 Tara’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
31. 31.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
32. 32.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
33. 33.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 32 right. How many percentage points more accurate is Model A?
34. 34.❌ Saanvi’s leaf identifier was tested on 17 new leaf photos and got 13 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
36. 36.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
37. 37.📦 Aarav collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 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
39. 39.📦 Saanvi collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?

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