Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 893 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
2. 2.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
3. 3.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
5. 5.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
6. 6.🎯 Rohan’s spam spotter was tested on 50 new messages and got 41 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
9. 9.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
10. 10.🎯 Ishaan’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
12. 12.❌ Meera’s handwriting reader was tested on 12 new handwritten letters and got 11 right. How many did it get wrong?
13. 13.❌ Aarav’s handwriting reader was tested on 42 new handwritten letters and got 39 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
15. 15.🧪 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
16. 16.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
18. 18.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
20. 20.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
21. 21.📦 Diya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 30 right. What is its accuracy in percent?
23. 23.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
24. 24.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
25. 25.📦 Ishaan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Diya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Nisha’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
28. 28.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
30. 30.❌ Arjun’s bird-song app was tested on 26 new bird songs and got 20 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
32. 32.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
33. 33.❌ Tara’s leaf identifier was tested on 26 new leaf photos and got 22 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
35. 35.📦 Kabir collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
38. 38.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
39. 39.🎯 Nisha’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
40. 40.🎯 Ishaan’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?

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