Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 656 · 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.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
3. 3.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
5. 5.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
6. 6.🧪 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
7. 7.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
8. 8.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
9. 9.📦 Tara collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
11. 11.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
12. 12.🎯 Vihaan’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
13. 13.❌ Tara’s leaf identifier was tested on 44 new leaf photos and got 42 right. How many did it get wrong?
14. 14.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
16. 16.❌ Saanvi’s fruit sorter was tested on 32 new fruit photos and got 29 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
18. 18.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
19. 19.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
21. 21.❌ Kabir’s recycling sorter was tested on 39 new waste photos and got 36 right. How many did it get wrong?
22. 22.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
24. 24.📦 Rohan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Diya’s fruit sorter was tested on 50 new fruit photos and got 42 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
27. 27.❌ Arjun’s leaf identifier was tested on 11 new leaf photos and got 10 right. How many did it get wrong?
28. 28.⚖️ 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?
29. 29.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
31. 31.📋 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
32. 32.📦 Rohan collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
34. 34.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
36. 36.❌ Diya’s handwriting reader was tested on 42 new handwritten letters and got 40 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
38. 38.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 33 right. How many percentage points more accurate is Model A?
39. 39.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
40. 40.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?

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