Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 683 · 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.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
2. 2.🎯 Arjun’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
4. 4.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
5. 5.🧪 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
6. 6.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
8. 8.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 12 right. How many percentage points more accurate is Model A?
9. 9.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
11. 11.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
12. 12.📦 Ananya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
14. 14.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
15. 15.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
16. 16.🎯 Vihaan’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
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.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
21. 21.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 42 right. What is its accuracy in percent?
22. 22.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
23. 23.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
24. 24.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
26. 26.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
27. 27.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
28. 28.❌ Kabir’s fruit sorter was tested on 25 new fruit photos and got 19 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
30. 30.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
32. 32.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
33. 33.❌ Nisha’s leaf identifier was tested on 20 new leaf photos and got 17 right. How many did it get wrong?
34. 34.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
35. 35.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
36. 36.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
37. 37.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
38. 38.❌ Nisha’s handwriting reader was tested on 23 new handwritten letters and got 17 right. How many did it get wrong?
39. 39.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
40. 40.🎯 Arjun’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?

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