Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 103 · 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 spam spotter was tested on 42 new messages and got 40 right. How many did it get wrong?
2. 2.❌ Vihaan’s fruit sorter was tested on 33 new fruit photos and got 28 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
4. 4.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
5. 5.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
6. 6.❌ Ishaan’s leaf identifier was tested on 15 new leaf photos and got 14 right. How many did it get wrong?
7. 7.❌ Saanvi’s spam spotter was tested on 18 new messages and got 15 right. How many did it get wrong?
8. 8.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
9. 9.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
10. 10.📦 Arjun collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
13. 13.❌ Meera’s leaf identifier was tested on 47 new leaf photos and got 44 right. How many did it get wrong?
14. 14.📦 Diya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.❌ Nisha’s spam spotter was tested on 20 new messages and got 12 right. How many did it get wrong?
16. 16.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
18. 18.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
19. 19.🎯 Nisha’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
20. 20.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
21. 21.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
23. 23.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
24. 24.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 16 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 44 right. How many percentage points more accurate is Model A?
26. 26.📦 Kabir collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Nisha’s recycling sorter was tested on 23 new waste photos and got 15 right. How many did it get wrong?
28. 28.❌ Ishaan’s fruit sorter was tested on 18 new fruit photos and got 10 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
30. 30.🎯 Rohan’s recycling sorter was tested on 25 new waste photos and got 18 right. What is its accuracy in percent?
31. 31.📦 Tara collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
33. 33.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
34. 34.🎯 Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 23 right. What is its accuracy in percent?
35. 35.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
36. 36.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
38. 38.❌ Kabir’s leaf identifier was tested on 36 new leaf photos and got 34 right. How many did it get wrong?
39. 39.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 48 right. What is its accuracy in percent?
40. 40.❌ Ananya’s leaf identifier was tested on 42 new leaf photos and got 34 right. How many did it get wrong?

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