Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 53 · 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 — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
2. 2.❌ Nisha’s leaf identifier was tested on 48 new leaf photos and got 42 right. How many did it get wrong?
3. 3.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
4. 4.📦 Arjun collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
6. 6.❌ Nisha’s leaf identifier was tested on 30 new leaf photos and got 23 right. How many did it get wrong?
7. 7.🎯 Nisha’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
8. 8.🧪 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 save paper (d) to make it faster
9. 9.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
10. 10.🎯 Ananya’s spam spotter was tested on 50 new messages and got 33 right. What is its accuracy in percent?
11. 11.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
12. 12.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
13. 13.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 25 right. What is its accuracy in percent?
14. 14.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 47 right. What is its accuracy in percent?
15. 15.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
16. 16.❌ Rohan’s recycling sorter was tested on 50 new waste photos and got 45 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
18. 18.❌ Vihaan’s recycling sorter was tested on 33 new waste photos and got 31 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
20. 20.📦 Nisha collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
22. 22.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
23. 23.🎯 Saanvi’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
25. 25.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
26. 26.📦 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?
27. 27.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
28. 28.❌ Vihaan’s bird-song app was tested on 46 new bird songs and got 41 right. How many did it get wrong?
29. 29.📦 Tara collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
31. 31.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 40 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
33. 33.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
34. 34.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
37. 37.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
38. 38.❌ Rohan’s fruit sorter was tested on 42 new fruit photos and got 36 right. How many did it get wrong?
39. 39.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
40. 40.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?

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