Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 210 · 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 make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
2. 2.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
4. 4.📦 Diya collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.❌ Saanvi’s spam spotter was tested on 18 new messages and got 10 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
7. 7.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
8. 8.❌ Ananya’s leaf identifier was tested on 44 new leaf photos and got 35 right. How many did it get wrong?
9. 9.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
10. 10.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
11. 11.❌ Aarav’s spam spotter was tested on 37 new messages and got 28 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
13. 13.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
14. 14.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
17. 17.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
19. 19.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
20. 20.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
21. 21.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 11 right. What is its accuracy in percent?
22. 22.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
23. 23.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
24. 24.❌ Ananya’s handwriting reader was tested on 35 new handwritten letters and got 27 right. How many did it get wrong?
25. 25.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 44 right. How many percentage points more accurate is Model A?
27. 27.❌ Vihaan’s bird-song app was tested on 47 new bird songs and got 40 right. How many did it get wrong?
28. 28.❌ Ishaan’s fruit sorter was tested on 37 new fruit photos and got 32 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
30. 30.📦 Nisha collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
32. 32.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
33. 33.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
34. 34.❌ Aarav’s leaf identifier was tested on 35 new leaf photos and got 34 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
36. 36.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
37. 37.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
38. 38.❌ Saanvi’s spam spotter was tested on 37 new messages and got 29 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
40. 40.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?

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