Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 161 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
2. 2.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
3. 3.🎯 Meera’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
4. 4.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
5. 5.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 38 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
7. 7.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
9. 9.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
10. 10.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
12. 12.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 41 right and Model B got 38 right. How many percentage points more accurate is Model A?
13. 13.📦 Saanvi collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Ananya’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
15. 15.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
17. 17.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
19. 19.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
20. 20.🎯 Tara’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
21. 21.📦 Aarav collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
23. 23.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
24. 24.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
25. 25.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
26. 26.❌ Aarav’s recycling sorter was tested on 24 new waste photos and got 18 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
28. 28.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
29. 29.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
30. 30.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 43 right and Model B got 42 right. How many percentage points more accurate is Model A?
31. 31.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
32. 32.❌ Ishaan’s leaf identifier was tested on 21 new leaf photos and got 19 right. How many did it get wrong?
33. 33.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
34. 34.🎯 Arjun’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
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.📦 Meera collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Kabir collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Nisha’s spam spotter was tested on 34 new messages and got 26 right. How many did it get wrong?
39. 39.📦 Arjun collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?

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