Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 218 · 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 — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
2. 2.📦 Vihaan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.❌ Saanvi’s bird-song app was tested on 22 new bird songs and got 19 right. How many did it get wrong?
4. 4.❌ Vihaan’s recycling sorter was tested on 18 new waste photos and got 11 right. How many did it get wrong?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
6. 6.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
7. 7.🧪 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
8. 8.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
10. 10.📦 Ananya collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
12. 12.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
13. 13.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
14. 14.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 44 right. What is its accuracy in percent?
15. 15.🎯 Rohan’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
16. 16.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 38 right and Model B got 33 right. How many percentage points more accurate is Model A?
18. 18.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
19. 19.📦 Saanvi collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
22. 22.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
24. 24.❌ Saanvi’s handwriting reader was tested on 30 new handwritten letters and got 26 right. How many did it get wrong?
25. 25.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
26. 26.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
27. 27.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
28. 28.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
29. 29.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
30. 30.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
31. 31.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
32. 32.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
33. 33.📦 Vihaan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Ananya’s handwriting reader was tested on 42 new handwritten letters and got 35 right. How many did it get wrong?
35. 35.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 17 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
37. 37.❌ Diya’s handwriting reader was tested on 24 new handwritten letters and got 22 right. How many did it get wrong?
38. 38.🎯 Vihaan’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
39. 39.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
40. 40.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 44 right. How many percentage points more accurate is Model A?

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