Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 214 · 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 — label each example or correct bad labels? (a) label each example (b) correct bad labels
2. 2.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
4. 4.❌ Meera’s spam spotter was tested on 38 new messages and got 31 right. How many did it get wrong?
5. 5.📦 Rohan collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
7. 7.📦 Ishaan collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
10. 10.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
11. 11.🎯 Rohan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
13. 13.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
14. 14.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
16. 16.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
17. 17.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 30 right. What is its accuracy in percent?
18. 18.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
19. 19.❌ Kabir’s leaf identifier was tested on 44 new leaf photos and got 40 right. How many did it get wrong?
20. 20.📦 Meera collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
22. 22.🎯 Aarav’s recycling sorter was tested on 50 new waste photos and got 35 right. What is its accuracy in percent?
23. 23.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
24. 24.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 17 right. How many percentage points more accurate is Model A?
25. 25.📦 Ananya collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Ananya collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Nisha’s spam spotter was tested on 29 new messages and got 25 right. How many did it get wrong?
28. 28.📦 Kabir collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Meera collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
31. 31.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
32. 32.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
33. 33.🎯 Kabir’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
34. 34.📦 Meera collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Arjun’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
36. 36.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
37. 37.📦 Vihaan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
39. 39.🎯 Nisha’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos

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