Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 273 · 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.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 46 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
3. 3.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
5. 5.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
6. 6.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
7. 7.❌ Nisha’s recycling sorter was tested on 43 new waste photos and got 35 right. How many did it get wrong?
8. 8.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
9. 9.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
10. 10.❌ Aarav’s leaf identifier was tested on 24 new leaf photos and got 16 right. How many did it get wrong?
11. 11.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
13. 13.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
14. 14.🎯 Arjun’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
16. 16.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
17. 17.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
18. 18.🧪 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
19. 19.📦 Aarav collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Arjun collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
23. 23.📋 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
24. 24.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
26. 26.❌ Arjun’s recycling sorter was tested on 30 new waste photos and got 21 right. How many did it get wrong?
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
28. 28.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
29. 29.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
31. 31.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
33. 33.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
35. 35.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
36. 36.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
37. 37.❌ Ananya’s fruit sorter was tested on 19 new fruit photos and got 17 right. How many did it get wrong?
38. 38.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
39. 39.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example

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