Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 426 · 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.❌ Tara’s spam spotter was tested on 39 new messages and got 35 right. How many did it get wrong?
2. 2.📦 Diya collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
5. 5.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
6. 6.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
7. 7.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 42 right. What is its accuracy in percent?
8. 8.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
9. 9.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
10. 10.❌ Saanvi’s spam spotter was tested on 46 new messages and got 44 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
12. 12.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
13. 13.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
14. 14.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
15. 15.❌ Saanvi’s bird-song app was tested on 44 new bird songs and got 36 right. How many did it get wrong?
16. 16.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
17. 17.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 42 right. How many percentage points more accurate is Model A?
18. 18.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
20. 20.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
21. 21.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
22. 22.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
23. 23.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
24. 24.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
25. 25.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
26. 26.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
27. 27.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
28. 28.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
31. 31.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
32. 32.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
34. 34.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
35. 35.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 43 right and Model B got 42 right. How many percentage points more accurate is Model A?
36. 36.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
37. 37.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 14 right. What is its accuracy in percent?
38. 38.📋 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
39. 39.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
40. 40.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 13 right. How many percentage points more accurate is Model A?

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