Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 801 · 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 — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
2. 2.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
3. 3.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
4. 4.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
6. 6.🎯 Nisha’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
7. 7.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
8. 8.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
9. 9.📋 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
10. 10.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
12. 12.📦 Rohan collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
14. 14.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
16. 16.❌ Diya’s leaf identifier was tested on 20 new leaf photos and got 16 right. How many did it get wrong?
17. 17.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
18. 18.📦 Meera collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
20. 20.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
21. 21.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
22. 22.📦 Arjun collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 12 right and Model B got 10 right. How many percentage points more accurate is Model A?
24. 24.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
25. 25.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
27. 27.❌ Saanvi’s handwriting reader was tested on 33 new handwritten letters and got 26 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
30. 30.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
31. 31.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
32. 32.❌ Meera’s handwriting reader was tested on 41 new handwritten letters and got 32 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
34. 34.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
35. 35.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
36. 36.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
37. 37.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
38. 38.🎯 Tara’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
39. 39.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
40. 40.🎯 Aarav’s spam spotter was tested on 20 new messages and got 14 right. What is its accuracy in percent?

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