Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 646 · 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 — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
3. 3.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
4. 4.🎯 Ishaan’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
5. 5.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
6. 6.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
7. 7.🧪 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
8. 8.📦 Saanvi collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
10. 10.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
11. 11.📦 Meera collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
13. 13.❌ Aarav’s leaf identifier was tested on 37 new leaf photos and got 34 right. How many did it get wrong?
14. 14.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
15. 15.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
16. 16.❌ Aarav’s leaf identifier was tested on 30 new leaf photos and got 28 right. How many did it get wrong?
17. 17.❌ Nisha’s fruit sorter was tested on 50 new fruit photos and got 43 right. How many did it get wrong?
18. 18.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
19. 19.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
20. 20.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
21. 21.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 29 right. What is its accuracy in percent?
22. 22.❌ Aarav’s bird-song app was tested on 50 new bird songs and got 48 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
24. 24.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
26. 26.❌ Vihaan’s bird-song app was tested on 17 new bird songs and got 13 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
28. 28.❌ Saanvi’s recycling sorter was tested on 35 new waste photos and got 30 right. How many did it get wrong?
29. 29.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
30. 30.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
31. 31.📦 Saanvi collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
33. 33.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
34. 34.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
35. 35.📦 Vihaan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
37. 37.🎯 Tara’s handwriting reader was tested on 50 new handwritten letters and got 31 right. What is its accuracy in percent?
38. 38.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 18 right. What is its accuracy in percent?
39. 39.📦 Vihaan collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?

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