Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 66 · 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.❌ Nisha’s leaf identifier was tested on 22 new leaf photos and got 19 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
3. 3.❌ Rohan’s recycling sorter was tested on 20 new waste photos and got 15 right. How many did it get wrong?
4. 4.❌ Meera’s handwriting reader was tested on 41 new handwritten letters and got 40 right. How many did it get wrong?
5. 5.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
6. 6.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
7. 7.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
8. 8.❌ Kabir’s bird-song app was tested on 31 new bird songs and got 27 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
10. 10.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
11. 11.❌ Kabir’s handwriting reader was tested on 23 new handwritten letters and got 19 right. How many did it get wrong?
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
13. 13.❌ Meera’s bird-song app was tested on 49 new bird songs and got 40 right. How many did it get wrong?
14. 14.🎯 Saanvi’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
15. 15.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
16. 16.🎯 Arjun’s spam spotter was tested on 20 new messages and got 10 right. What is its accuracy in percent?
17. 17.🎯 Arjun’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
19. 19.❌ Saanvi’s spam spotter was tested on 20 new messages and got 19 right. How many did it get wrong?
20. 20.❌ Kabir’s fruit sorter was tested on 23 new fruit photos and got 17 right. How many did it get wrong?
21. 21.🧪 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
22. 22.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
23. 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
24. 24.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
26. 26.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
28. 28.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
29. 29.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
30. 30.❌ Meera’s fruit sorter was tested on 33 new fruit photos and got 32 right. How many did it get wrong?
31. 31.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
34. 34.❌ Ishaan’s fruit sorter was tested on 50 new fruit photos and got 46 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
36. 36.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
37. 37.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
38. 38.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
40. 40.📦 Aarav collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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