Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 777 · 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.📦 Nisha collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 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
3. 3.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
5. 5.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
6. 6.📦 Ishaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
8. 8.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
9. 9.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
10. 10.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
11. 11.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
12. 12.📦 Tara collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
14. 14.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
16. 16.❌ Diya’s fruit sorter was tested on 15 new fruit photos and got 12 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
18. 18.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 80 new waste photos, how many should it get right?
19. 19.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
21. 21.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
22. 22.📦 Nisha collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
24. 24.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
25. 25.🎯 Nisha’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
26. 26.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
27. 27.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
28. 28.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
30. 30.📦 Meera collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
32. 32.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
33. 33.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
34. 34.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
36. 36.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
37. 37.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
39. 39.📦 Meera collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?

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