Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 69 · 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.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
2. 2.📦 Vihaan collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
4. 4.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
5. 5.❌ Rohan’s fruit sorter was tested on 22 new fruit photos and got 14 right. How many did it get wrong?
6. 6.❌ Tara’s recycling sorter was tested on 30 new waste photos and got 23 right. How many did it get wrong?
7. 7.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
8. 8.📦 Tara collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
9. 9.❌ Nisha’s fruit sorter was tested on 47 new fruit photos and got 45 right. How many did it get wrong?
10. 10.🎯 Aarav’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
11. 11.❌ Meera’s spam spotter was tested on 35 new messages and got 28 right. How many did it get wrong?
12. 12.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
14. 14.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
15. 15.🎯 Nisha’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
16. 16.📦 Meera collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
18. 18.📦 Diya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
21. 21.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
23. 23.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
24. 24.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
25. 25.📦 Saanvi collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
27. 27.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
29. 29.🎯 Vihaan’s recycling sorter was tested on 50 new waste photos and got 33 right. What is its accuracy in percent?
30. 30.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
31. 31.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 28 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
33. 33.❌ Vihaan’s fruit sorter was tested on 40 new fruit photos and got 36 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
35. 35.📦 Kabir collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
37. 37.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
38. 38.⚖️ 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?
39. 39.📦 Ananya collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?

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