Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 573 · 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 — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
3. 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
4. 4.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
5. 5.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
6. 6.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
7. 7.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 40 right and Model B got 28 right. How many percentage points more accurate is Model A?
8. 8.🎯 Ananya’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
9. 9.❌ Arjun’s spam spotter was tested on 18 new messages and got 14 right. How many did it get wrong?
10. 10.❌ Nisha’s handwriting reader was tested on 37 new handwritten letters and got 36 right. How many did it get wrong?
11. 11.❌ Aarav’s fruit sorter was tested on 13 new fruit photos and got 11 right. How many did it get wrong?
12. 12.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
13. 13.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
15. 15.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
17. 17.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
18. 18.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
20. 20.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
22. 22.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
24. 24.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
26. 26.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
27. 27.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
28. 28.📦 Ishaan collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
31. 31.📦 Meera collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
33. 33.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
35. 35.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
36. 36.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
37. 37.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
38. 38.📦 Ananya collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.❌ Aarav’s handwriting reader was tested on 47 new handwritten letters and got 42 right. How many did it get wrong?
40. 40.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?

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