Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 230 · 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 × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
2. 2.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
3. 3.🧪 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
4. 4.❌ Rohan’s recycling sorter was tested on 24 new waste photos and got 15 right. How many did it get wrong?
5. 5.📦 Diya collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 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
7. 7.🎯 Ananya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
8. 8.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
9. 9.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
11. 11.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
14. 14.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
15. 15.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
17. 17.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
18. 18.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
19. 19.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
22. 22.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
24. 24.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
25. 25.🎯 Meera’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
26. 26.📦 Nisha collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
29. 29.❌ Meera’s leaf identifier was tested on 14 new leaf photos and got 13 right. How many did it get wrong?
30. 30.❌ Aarav’s bird-song app was tested on 22 new bird songs and got 17 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
32. 32.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
33. 33.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
34. 34.❌ Rohan’s spam spotter was tested on 20 new messages and got 19 right. How many did it get wrong?
35. 35.❌ Arjun’s handwriting reader was tested on 21 new handwritten letters and got 19 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
37. 37.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
38. 38.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
40. 40.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students