Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 82 · 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 fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
2. 2.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
3. 3.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
6. 6.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
7. 7.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
8. 8.❌ Kabir’s bird-song app was tested on 27 new bird songs and got 19 right. How many did it get wrong?
9. 9.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
10. 10.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
12. 12.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 47 right. How many percentage points more accurate is Model A?
13. 13.📦 Kabir collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🧪 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
15. 15.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
16. 16.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
17. 17.❌ Vihaan’s bird-song app was tested on 17 new bird songs and got 10 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
19. 19.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
21. 21.❌ Kabir’s spam spotter was tested on 27 new messages and got 24 right. How many did it get wrong?
22. 22.📦 Meera collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
24. 24.🎯 Rohan’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
25. 25.🎯 Rohan’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
26. 26.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
27. 27.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
30. 30.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
31. 31.📦 Ananya collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Diya’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
33. 33.📦 Diya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
38. 38.📋 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
39. 39.❌ Diya’s bird-song app was tested on 23 new bird songs and got 20 right. How many did it get wrong?
40. 40.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?

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