Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 299 · 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.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
2. 2.📦 Meera collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
4. 4.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
6. 6.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
7. 7.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
8. 8.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
9. 9.❌ Diya’s recycling sorter was tested on 28 new waste photos and got 20 right. How many did it get wrong?
10. 10.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
11. 11.🎯 Nisha’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
13. 13.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
16. 16.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
17. 17.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
19. 19.❌ Arjun’s recycling sorter was tested on 22 new waste photos and got 17 right. How many did it get wrong?
20. 20.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
21. 21.❌ Ishaan’s handwriting reader was tested on 35 new handwritten letters and got 34 right. How many did it get wrong?
22. 22.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
23. 23.📋 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
24. 24.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
25. 25.❌ Arjun’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
29. 29.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
30. 30.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
31. 31.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
32. 32.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
33. 33.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
34. 34.❌ Meera’s bird-song app was tested on 47 new bird songs and got 43 right. How many did it get wrong?
35. 35.⚖️ 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?
36. 36.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
37. 37.🎯 Tara’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
38. 38.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
39. 39.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
40. 40.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?

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