Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 338 · 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.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
2. 2.❌ Nisha’s handwriting reader was tested on 23 new handwritten letters and got 21 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
4. 4.❌ Vihaan’s fruit sorter was tested on 45 new fruit photos and got 42 right. How many did it get wrong?
5. 5.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
6. 6.❌ Saanvi’s bird-song app was tested on 15 new bird songs and got 12 right. How many did it get wrong?
7. 7.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
8. 8.📦 Arjun collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 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
10. 10.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
11. 11.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
12. 12.❌ Ishaan’s bird-song app was tested on 29 new bird songs and got 26 right. How many did it get wrong?
13. 13.📦 Meera collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
16. 16.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
19. 19.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
20. 20.🎯 Nisha’s spam spotter was tested on 50 new messages and got 30 right. What is its accuracy in percent?
21. 21.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
23. 23.❌ Kabir’s spam spotter was tested on 17 new messages and got 11 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
25. 25.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
26. 26.❌ Ananya’s handwriting reader was tested on 35 new handwritten letters and got 27 right. How many did it get wrong?
27. 27.📦 Kabir collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Nisha’s bird-song app was tested on 13 new bird songs and got 12 right. How many did it get wrong?
29. 29.❌ Ishaan’s fruit sorter was tested on 44 new fruit photos and got 42 right. How many did it get wrong?
30. 30.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
31. 31.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
33. 33.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
35. 35.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
36. 36.📦 Vihaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
38. 38.❌ Arjun’s fruit sorter was tested on 17 new fruit photos and got 15 right. How many did it get wrong?
39. 39.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
40. 40.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?

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