Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 839 · 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 — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
2. 2.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
3. 3.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
4. 4.❌ Rohan’s leaf identifier was tested on 30 new leaf photos and got 25 right. How many did it get wrong?
5. 5.🎯 Diya’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
6. 6.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
8. 8.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
9. 9.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
10. 10.🎯 Saanvi’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
11. 11.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
12. 12.🧪 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
13. 13.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
14. 14.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
15. 15.📦 Ishaan collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
17. 17.📦 Meera collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.🧪 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
19. 19.📦 Ananya collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
21. 21.❌ Rohan’s handwriting reader was tested on 34 new handwritten letters and got 33 right. How many did it get wrong?
22. 22.❌ Meera’s bird-song app was tested on 37 new bird songs and got 32 right. How many did it get wrong?
23. 23.❌ Arjun’s recycling sorter was tested on 48 new waste photos and got 39 right. How many did it get wrong?
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
26. 26.🎯 Nisha’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
27. 27.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
29. 29.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
30. 30.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
32. 32.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
34. 34.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
35. 35.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
36. 36.🎯 Diya’s handwriting reader is 70% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
38. 38.📦 Ananya collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 27 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples

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