Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 106 · 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 fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
2. 2.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
4. 4.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
5. 5.📋 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
6. 6.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 45 right. How many percentage points more accurate is Model A?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
8. 8.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
9. 9.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
11. 11.❌ Tara’s leaf identifier was tested on 50 new leaf photos and got 44 right. How many did it get wrong?
12. 12.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
13. 13.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
14. 14.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 44 right and Model B got 35 right. How many percentage points more accurate is Model A?
15. 15.📦 Tara collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
17. 17.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
18. 18.📦 Nisha collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
20. 20.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
22. 22.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
23. 23.❌ Arjun’s leaf identifier was tested on 29 new leaf photos and got 20 right. How many did it get wrong?
24. 24.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
25. 25.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
26. 26.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
27. 27.❌ Meera’s bird-song app was tested on 23 new bird songs and got 18 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
29. 29.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
30. 30.❌ Kabir’s leaf identifier was tested on 18 new leaf photos and got 15 right. How many did it get wrong?
31. 31.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
32. 32.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
33. 33.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
34. 34.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
36. 36.📦 Nisha collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 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
38. 38.❌ Diya’s spam spotter was tested on 22 new messages and got 18 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
40. 40.❌ Diya’s recycling sorter was tested on 17 new waste photos and got 16 right. How many did it get wrong?

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