Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 528 · 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 — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
2. 2.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
3. 3.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
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.❌ Ananya’s bird-song app was tested on 20 new bird songs and got 11 right. How many did it get wrong?
6. 6.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
7. 7.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
8. 8.❌ Saanvi’s handwriting reader was tested on 34 new handwritten letters and got 25 right. How many did it get wrong?
9. 9.❌ Meera’s leaf identifier was tested on 31 new leaf photos and got 29 right. How many did it get wrong?
10. 10.❌ Aarav’s handwriting reader was tested on 22 new handwritten letters and got 15 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
12. 12.📦 Kabir collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Ishaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 90 new messages, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
16. 16.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
18. 18.❌ Diya’s leaf identifier was tested on 34 new leaf photos and got 25 right. How many did it get wrong?
19. 19.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
20. 20.❌ Saanvi’s spam spotter was tested on 48 new messages and got 40 right. How many did it get wrong?
21. 21.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
22. 22.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 37 right and Model B got 27 right. How many percentage points more accurate is Model A?
23. 23.📦 Meera collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
25. 25.📦 Kabir collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 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
27. 27.🎯 Nisha’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
28. 28.🎯 Nisha’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
29. 29.🧪 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
30. 30.❌ Diya’s leaf identifier was tested on 44 new leaf photos and got 35 right. How many did it get wrong?
31. 31.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
32. 32.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
33. 33.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
35. 35.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
36. 36.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
37. 37.⚖️ 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?
38. 38.📦 Tara collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
40. 40.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again

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