Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 473 · 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 collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
3. 3.🧪 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
4. 4.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
5. 5.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
6. 6.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
7. 7.📦 Rohan collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
9. 9.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
10. 10.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
11. 11.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 37 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
13. 13.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
15. 15.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
17. 17.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 33 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
19. 19.❌ Aarav’s leaf identifier was tested on 50 new leaf photos and got 46 right. How many did it get wrong?
20. 20.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
23. 23.📦 Nisha collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
25. 25.📦 Tara collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
27. 27.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
28. 28.🎯 Aarav’s spam spotter was tested on 25 new messages and got 22 right. What is its accuracy in percent?
29. 29.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
30. 30.❌ Arjun’s leaf identifier was tested on 27 new leaf photos and got 19 right. How many did it get wrong?
31. 31.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
32. 32.📦 Tara collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
34. 34.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
36. 36.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
37. 37.❌ Ananya’s fruit sorter was tested on 22 new fruit photos and got 18 right. How many did it get wrong?
38. 38.🎯 Ishaan’s spam spotter was tested on 25 new messages and got 22 right. What is its accuracy in percent?
39. 39.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
40. 40.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?

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