Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 799 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
2. 2.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
3. 3.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
4. 4.📦 Diya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
6. 6.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
7. 7.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
8. 8.❌ Arjun’s bird-song app was tested on 18 new bird songs and got 15 right. How many did it get wrong?
9. 9.📦 Diya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 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
11. 11.❌ Diya’s bird-song app was tested on 40 new bird songs and got 36 right. How many did it get wrong?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
13. 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
14. 14.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
15. 15.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
16. 16.❌ Tara’s bird-song app was tested on 26 new bird songs and got 21 right. How many did it get wrong?
17. 17.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
19. 19.📦 Meera collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
21. 21.❌ Tara’s handwriting reader was tested on 19 new handwritten letters and got 10 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
23. 23.📦 Tara collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
25. 25.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
26. 26.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
27. 27.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 45 right. What is its accuracy in percent?
28. 28.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
30. 30.❌ Diya’s spam spotter was tested on 24 new messages and got 17 right. How many did it get wrong?
31. 31.📋 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
32. 32.❌ Saanvi’s fruit sorter was tested on 23 new fruit photos and got 17 right. How many did it get wrong?
33. 33.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
35. 35.❌ Aarav’s leaf identifier was tested on 27 new leaf photos and got 20 right. How many did it get wrong?
36. 36.❌ Kabir’s handwriting reader was tested on 23 new handwritten letters and got 19 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
38. 38.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
39. 39.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
40. 40.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?

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