Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 24 · 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.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
4. 4.📋 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
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
6. 6.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
8. 8.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
9. 9.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
10. 10.🎯 Arjun’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
11. 11.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
13. 13.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
14. 14.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
15. 15.📦 Saanvi collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Nisha collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
19. 19.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
20. 20.🎯 Ananya’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
22. 22.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
23. 23.📋 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
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
26. 26.🎯 Tara’s spam spotter was tested on 20 new messages and got 14 right. What is its accuracy in percent?
27. 27.❌ Aarav’s handwriting reader was tested on 29 new handwritten letters and got 21 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
29. 29.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
30. 30.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
32. 32.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
33. 33.📋 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
34. 34.📦 Meera collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
36. 36.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
39. 39.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
40. 40.📦 Vihaan collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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