Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 337 · 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.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
2. 2.❌ Ishaan’s handwriting reader was tested on 15 new handwritten letters and got 11 right. How many did it get wrong?
3. 3.❌ Meera’s recycling sorter was tested on 45 new waste photos and got 39 right. How many did it get wrong?
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
5. 5.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
7. 7.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
8. 8.❌ Ishaan’s leaf identifier was tested on 18 new leaf photos and got 14 right. How many did it get wrong?
9. 9.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
11. 11.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
12. 12.❌ Meera’s bird-song app was tested on 37 new bird songs and got 29 right. How many did it get wrong?
13. 13.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
14. 14.📋 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
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
16. 16.📦 Meera collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
18. 18.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
19. 19.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
20. 20.📦 Rohan collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
22. 22.📋 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
23. 23.❌ Ananya’s leaf identifier was tested on 48 new leaf photos and got 43 right. How many did it get wrong?
24. 24.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
26. 26.❌ Nisha’s bird-song app was tested on 25 new bird songs and got 17 right. How many did it get wrong?
27. 27.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
29. 29.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 39 right and Model B got 32 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
31. 31.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
32. 32.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
34. 34.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
35. 35.❌ Tara’s bird-song app was tested on 31 new bird songs and got 28 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
37. 37.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
38. 38.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
39. 39.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test

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