Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 155 · 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.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
3. 3.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
5. 5.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
6. 6.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
7. 7.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 46 right. What is its accuracy in percent?
8. 8.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
10. 10.❌ Nisha’s bird-song app was tested on 21 new bird songs and got 20 right. How many did it get wrong?
11. 11.❌ Kabir’s spam spotter was tested on 44 new messages and got 41 right. How many did it get wrong?
12. 12.❌ Nisha’s leaf identifier was tested on 45 new leaf photos and got 37 right. How many did it get wrong?
13. 13.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
15. 15.📦 Nisha collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
18. 18.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
19. 19.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
20. 20.📦 Kabir collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
22. 22.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
24. 24.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
25. 25.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
26. 26.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
27. 27.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
28. 28.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
30. 30.❌ Aarav’s leaf identifier was tested on 22 new leaf photos and got 21 right. How many did it get wrong?
31. 31.📦 Saanvi collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Saanvi’s fruit sorter was tested on 31 new fruit photos and got 28 right. How many did it get wrong?
33. 33.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
34. 34.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
35. 35.📦 Saanvi collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 41 right. What is its accuracy in percent?
37. 37.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
38. 38.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
39. 39.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
40. 40.📦 Ishaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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