Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 552 · 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.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
2. 2.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
3. 3.📦 Ishaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
8. 8.📦 Saanvi collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
10. 10.📦 Vihaan collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 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
12. 12.❌ Ishaan’s bird-song app was tested on 29 new bird songs and got 28 right. How many did it get wrong?
13. 13.📦 Tara collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
15. 15.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
16. 16.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
17. 17.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
18. 18.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 42 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
20. 20.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?
21. 21.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
23. 23.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
24. 24.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
25. 25.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 42 right. How many percentage points more accurate is Model A?
26. 26.❌ Kabir’s fruit sorter was tested on 32 new fruit photos and got 28 right. How many did it get wrong?
27. 27.❌ Ishaan’s fruit sorter was tested on 36 new fruit photos and got 30 right. How many did it get wrong?
28. 28.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
30. 30.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
31. 31.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
33. 33.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
34. 34.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
37. 37.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
38. 38.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
39. 39.❌ Aarav’s recycling sorter was tested on 31 new waste photos and got 24 right. How many did it get wrong?
40. 40.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?

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