Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 545 · 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.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
3. 3.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
4. 4.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
5. 5.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
6. 6.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 33 right and Model B got 29 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
8. 8.❌ Saanvi’s fruit sorter was tested on 34 new fruit photos and got 25 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
10. 10.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
11. 11.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
12. 12.❌ Ananya’s bird-song app was tested on 29 new bird songs and got 28 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
14. 14.❌ Diya’s bird-song app was tested on 38 new bird songs and got 35 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
16. 16.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
17. 17.❌ Aarav’s recycling sorter was tested on 21 new waste photos and got 20 right. How many did it get wrong?
18. 18.📦 Rohan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
20. 20.📋 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
21. 21.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
22. 22.❌ Diya’s fruit sorter was tested on 35 new fruit photos and got 34 right. How many did it get wrong?
23. 23.📦 Ananya collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.📦 Nisha collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
26. 26.🧪 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
27. 27.🎯 Arjun’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
29. 29.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
31. 31.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
32. 32.📋 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
33. 33.❌ Rohan’s bird-song app was tested on 39 new bird songs and got 35 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
35. 35.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
36. 36.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
38. 38.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
39. 39.📦 Kabir collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?

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