Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 550 · 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 — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
2. 2.❌ Kabir’s fruit sorter was tested on 42 new fruit photos and got 36 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
4. 4.📦 Arjun collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
6. 6.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
7. 7.📦 Kabir collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
9. 9.❌ Diya’s leaf identifier was tested on 47 new leaf photos and got 44 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
11. 11.📦 Kabir collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
13. 13.📦 Rohan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Ishaan’s spam spotter was tested on 47 new messages and got 44 right. How many did it get wrong?
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
16. 16.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
17. 17.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
18. 18.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
19. 19.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
20. 20.📦 Tara collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
22. 22.📦 Meera collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.❌ Arjun’s spam spotter was tested on 32 new messages and got 27 right. How many did it get wrong?
24. 24.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 18 right and Model B got 15 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 louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
26. 26.📦 Ananya collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
28. 28.🎯 Diya’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
29. 29.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
30. 30.📦 Nisha collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
34. 34.❌ Nisha’s leaf identifier was tested on 28 new leaf photos and got 25 right. How many did it get wrong?
35. 35.📦 Nisha collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
36. 36.📦 Meera collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
38. 38.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
40. 40.❌ Ananya’s spam spotter was tested on 29 new messages and got 28 right. How many did it get wrong?

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