Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 123 · 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.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
3. 3.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
4. 4.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 45 right and Model B got 36 right. How many percentage points more accurate is Model A?
5. 5.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
6. 6.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
7. 7.📦 Nisha collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
9. 9.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
10. 10.🎯 Arjun’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
11. 11.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
13. 13.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
16. 16.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
18. 18.📦 Saanvi collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Kabir’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
20. 20.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
22. 22.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
23. 23.📦 Diya collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
25. 25.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
26. 26.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
28. 28.📦 Meera collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
30. 30.📋 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
31. 31.❌ Ananya’s handwriting reader was tested on 22 new handwritten letters and got 13 right. How many did it get wrong?
32. 32.📋 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
33. 33.📦 Vihaan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
35. 35.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
36. 36.📦 Meera collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
38. 38.🎯 Arjun’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
40. 40.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 32 right. What is its accuracy in percent?

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