Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 234 · 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 — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
2. 2.🧪 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
3. 3.🎯 Saanvi’s spam spotter was tested on 25 new messages and got 20 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
5. 5.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
6. 6.❌ Arjun’s bird-song app was tested on 44 new bird songs and got 42 right. How many did it get wrong?
7. 7.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
8. 8.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 43 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
10. 10.❌ Aarav’s spam spotter was tested on 34 new messages and got 30 right. How many did it get wrong?
11. 11.📦 Kabir collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
13. 13.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
14. 14.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.🧪 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
17. 17.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
19. 19.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
21. 21.📦 Diya collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
24. 24.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
25. 25.❌ Tara’s bird-song app was tested on 45 new bird songs and got 37 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
27. 27.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
28. 28.📦 Ananya collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
30. 30.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
31. 31.📋 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
32. 32.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
33. 33.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 35 right. How many percentage points more accurate is Model A?
34. 34.🎯 Arjun’s spam spotter was tested on 50 new messages and got 50 right. What is its accuracy in percent?
35. 35.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
36. 36.📦 Vihaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Kabir’s spam spotter was tested on 50 new messages and got 40 right. What is its accuracy in percent?
38. 38.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
40. 40.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?

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