Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 623 · 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 20 waste photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
2. 2.🎯 Ananya’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
3. 3.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
4. 4.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
6. 6.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
7. 7.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 44 right. How many percentage points more accurate is Model A?
8. 8.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
10. 10.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
13. 13.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
14. 14.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
15. 15.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
16. 16.📦 Vihaan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Ananya’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
18. 18.📦 Tara collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Rohan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
22. 22.🎯 Saanvi’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?
23. 23.❌ Aarav’s fruit sorter was tested on 34 new fruit photos and got 27 right. How many did it get wrong?
24. 24.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
26. 26.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
27. 27.❌ Nisha’s spam spotter was tested on 14 new messages and got 11 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
29. 29.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
31. 31.❌ Kabir’s recycling sorter was tested on 16 new waste photos and got 15 right. How many did it get wrong?
32. 32.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
34. 34.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
35. 35.📋 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
36. 36.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
37. 37.❌ Ishaan’s leaf identifier was tested on 31 new leaf photos and got 22 right. How many did it get wrong?
38. 38.📦 Arjun collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?
40. 40.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?

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