Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 25 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
2. 2.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
4. 4.📦 Kabir collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
5. 5.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
6. 6.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
7. 7.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
8. 8.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
9. 9.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
11. 11.🧪 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
12. 12.📦 Ananya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
14. 14.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
17. 17.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
18. 18.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
19. 19.📦 Meera collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
21. 21.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
22. 22.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
23. 23.❌ Saanvi’s spam spotter was tested on 36 new messages and got 34 right. How many did it get wrong?
24. 24.📦 Rohan collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
27. 27.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 12 right and Model B got 10 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
29. 29.📋 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
30. 30.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
32. 32.📦 Nisha collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
34. 34.📦 Aarav collected 60 labelled handwritten letters for a handwriting reader 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 38 right and Model B got 36 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
37. 37.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
39. 39.❌ Kabir’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
40. 40.📦 Tara collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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