Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 89 · 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.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
3. 3.📦 Kabir collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
6. 6.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
7. 7.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 22 right. What is its accuracy in percent?
8. 8.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
10. 10.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
11. 11.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
12. 12.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
13. 13.📦 Meera collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
15. 15.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
17. 17.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
18. 18.⚖️ 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?
19. 19.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 36 right and Model B got 27 right. How many percentage points more accurate is Model A?
20. 20.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
21. 21.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 31 right. What is its accuracy in percent?
22. 22.🎯 Rohan’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
23. 23.🧪 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
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
25. 25.📋 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
26. 26.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
27. 27.🎯 Aarav’s spam spotter was tested on 50 new messages and got 50 right. What is its accuracy in percent?
28. 28.❌ Diya’s fruit sorter was tested on 27 new fruit photos and got 25 right. How many did it get wrong?
29. 29.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
30. 30.📦 Diya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
32. 32.📋 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
33. 33.📋 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
34. 34.❌ Ananya’s bird-song app was tested on 23 new bird songs and got 14 right. How many did it get wrong?
35. 35.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
36. 36.❌ Aarav’s fruit sorter was tested on 20 new fruit photos and got 13 right. How many did it get wrong?
37. 37.📦 Arjun collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📦 Rohan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.📦 Kabir collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?

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