Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 207 · 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 — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
2. 2.❌ Diya’s spam spotter was tested on 21 new messages and got 17 right. How many did it get wrong?
3. 3.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
4. 4.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
5. 5.❌ Ananya’s fruit sorter was tested on 50 new fruit photos and got 41 right. How many did it get wrong?
6. 6.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
8. 8.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
9. 9.❌ Nisha’s bird-song app was tested on 19 new bird songs and got 16 right. How many did it get wrong?
10. 10.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
12. 12.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
13. 13.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
14. 14.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
15. 15.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
16. 16.📦 Meera collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Rohan’s handwriting reader was tested on 18 new handwritten letters and got 14 right. How many did it get wrong?
18. 18.❌ Rohan’s leaf identifier was tested on 38 new leaf photos and got 35 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
20. 20.❌ Ishaan’s recycling sorter was tested on 25 new waste photos and got 16 right. How many did it get wrong?
21. 21.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
22. 22.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
23. 23.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
24. 24.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
25. 25.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
26. 26.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
29. 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
30. 30.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
31. 31.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
32. 32.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
33. 33.⚖️ 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?
34. 34.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
35. 35.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
37. 37.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
38. 38.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
40. 40.📦 Diya collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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