Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 389 · 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.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
2. 2.🧪 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 make it bigger (d) to save paper
3. 3.🎯 Vihaan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
4. 4.🧪 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
5. 5.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
7. 7.🎯 Meera’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
8. 8.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 34 right and Model B got 31 right. How many percentage points more accurate is Model A?
9. 9.📦 Aarav collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Aarav’s fruit sorter was tested on 50 new fruit photos and got 44 right. How many did it get wrong?
11. 11.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
12. 12.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
13. 13.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 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 — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
16. 16.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
17. 17.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
18. 18.🎯 Nisha’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?
19. 19.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
21. 21.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
22. 22.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
23. 23.🎯 Vihaan’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
24. 24.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
25. 25.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
26. 26.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
27. 27.📦 Saanvi collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 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
29. 29.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
30. 30.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
31. 31.📦 Ishaan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
35. 35.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
37. 37.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
38. 38.❌ Meera’s bird-song app was tested on 11 new bird songs and got 10 right. How many did it get wrong?
39. 39.❌ Kabir’s leaf identifier was tested on 42 new leaf photos and got 38 right. How many did it get wrong?
40. 40.❌ Meera’s bird-song app was tested on 46 new bird songs and got 43 right. How many did it get wrong?

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