Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 194 · 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.🧪 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 make it bigger (d) to save paper
2. 2.📦 Rohan collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
4. 4.❌ Meera’s handwriting reader was tested on 30 new handwritten letters and got 26 right. How many did it get wrong?
5. 5.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
6. 6.🎯 Meera’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
7. 7.🎯 Ishaan’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
9. 9.❌ Saanvi’s fruit sorter was tested on 47 new fruit photos and got 39 right. How many did it get wrong?
10. 10.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
13. 13.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 48 right. What is its accuracy in percent?
14. 14.📦 Kabir collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
16. 16.❌ Rohan’s handwriting reader was tested on 25 new handwritten letters and got 17 right. How many did it get wrong?
17. 17.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
18. 18.❌ Saanvi’s leaf identifier was tested on 21 new leaf photos and got 13 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
20. 20.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
21. 21.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
23. 23.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
24. 24.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
25. 25.📦 Ishaan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
27. 27.❌ Meera’s fruit sorter was tested on 40 new fruit photos and got 38 right. How many did it get wrong?
28. 28.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
29. 29.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
31. 31.📦 Rohan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
33. 33.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
36. 36.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
37. 37.📦 Rohan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Diya’s leaf identifier was tested on 37 new leaf photos and got 34 right. How many did it get wrong?
39. 39.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label

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