Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 684 · 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.📦 Tara collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 20 right. What is its accuracy in percent?
3. 3.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 49 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
5. 5.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
6. 6.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
8. 8.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
9. 9.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
10. 10.❌ Saanvi’s spam spotter was tested on 26 new messages and got 21 right. How many did it get wrong?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
12. 12.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
13. 13.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
14. 14.❌ Aarav’s leaf identifier was tested on 19 new leaf photos and got 13 right. How many did it get wrong?
15. 15.❌ Kabir’s leaf identifier was tested on 37 new leaf photos and got 28 right. How many did it get wrong?
16. 16.❌ Diya’s fruit sorter was tested on 50 new fruit photos and got 46 right. How many did it get wrong?
17. 17.❌ Vihaan’s fruit sorter was tested on 23 new fruit photos and got 17 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
19. 19.📋 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
20. 20.📦 Saanvi collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
22. 22.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
23. 23.❌ Vihaan’s handwriting reader was tested on 38 new handwritten letters and got 33 right. How many did it get wrong?
24. 24.🧪 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
25. 25.📦 Rohan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
27. 27.❌ Aarav’s bird-song app was tested on 24 new bird songs and got 15 right. How many did it get wrong?
28. 28.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
29. 29.🧪 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
30. 30.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
31. 31.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
32. 32.❌ Saanvi’s recycling sorter was tested on 26 new waste photos and got 18 right. How many did it get wrong?
33. 33.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
35. 35.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 15 right. What is its accuracy in percent?
36. 36.📋 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
37. 37.📦 Diya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
40. 40.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again

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