Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 565 · 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.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
2. 2.❌ Meera’s leaf identifier was tested on 23 new leaf photos and got 18 right. How many did it get wrong?
3. 3.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
4. 4.❌ Saanvi’s fruit sorter was tested on 16 new fruit photos and got 12 right. How many did it get wrong?
5. 5.📦 Saanvi collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
7. 7.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
8. 8.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
9. 9.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
11. 11.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
12. 12.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
13. 13.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 25 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
16. 16.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
18. 18.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
19. 19.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 41 right. What is its accuracy in percent?
20. 20.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
22. 22.📦 Diya collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
24. 24.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
25. 25.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
26. 26.❌ Arjun’s fruit sorter was tested on 23 new fruit photos and got 15 right. How many did it get wrong?
27. 27.❌ Saanvi’s spam spotter was tested on 18 new messages and got 12 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
29. 29.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
30. 30.❌ Nisha’s spam spotter was tested on 45 new messages and got 36 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
32. 32.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
33. 33.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
34. 34.📦 Kabir collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.🧪 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
36. 36.🎯 Meera’s handwriting reader was tested on 25 new handwritten letters and got 19 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
38. 38.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
39. 39.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
40. 40.❌ Vihaan’s leaf identifier was tested on 24 new leaf photos and got 22 right. How many did it get wrong?

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