Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 85 · 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.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
3. 3.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
5. 5.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
6. 6.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
7. 7.📋 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
8. 8.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
9. 9.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
11. 11.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
13. 13.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
15. 15.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
16. 16.📦 Aarav collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Nisha’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
19. 19.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 22 right. What is its accuracy in percent?
20. 20.🎯 Ananya’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
22. 22.❌ Ishaan’s bird-song app was tested on 50 new bird songs and got 49 right. How many did it get wrong?
23. 23.🧪 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 save paper (d) to make it bigger
24. 24.📦 Aarav collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Tara’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
26. 26.🎯 Ananya’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
27. 27.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
28. 28.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
29. 29.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 45 right. How many percentage points more accurate is Model A?
30. 30.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
31. 31.📦 Arjun collected 70 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 — label each example or set aside test photos? (a) label each example (b) set aside test photos
33. 33.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
35. 35.📦 Tara collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
37. 37.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
38. 38.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
39. 39.📦 Arjun collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?

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