Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 418 · 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 handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
2. 2.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
4. 4.📦 Saanvi collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.📦 Arjun collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
8. 8.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
9. 9.❌ Rohan’s fruit sorter was tested on 47 new fruit photos and got 40 right. How many did it get wrong?
10. 10.❌ Rohan’s handwriting reader was tested on 16 new handwritten letters and got 15 right. How many did it get wrong?
11. 11.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
13. 13.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
14. 14.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
15. 15.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
17. 17.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
18. 18.📦 Diya collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
20. 20.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
21. 21.📦 Aarav collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 17 right. How many percentage points more accurate is Model A?
23. 23.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
25. 25.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
26. 26.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
27. 27.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
28. 28.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
29. 29.❌ Ananya’s fruit sorter was tested on 32 new fruit photos and got 24 right. How many did it get wrong?
30. 30.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
32. 32.❌ Vihaan’s spam spotter was tested on 44 new messages and got 38 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
34. 34.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
35. 35.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
36. 36.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
38. 38.📦 Tara collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 12 right. What is its accuracy in percent?
40. 40.❌ Nisha’s handwriting reader was tested on 43 new handwritten letters and got 35 right. How many did it get wrong?

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