Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 75 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
2. 2.❌ Ananya’s recycling sorter was tested on 39 new waste photos and got 37 right. How many did it get wrong?
3. 3.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
5. 5.📦 Ishaan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
7. 7.🧪 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
8. 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
11. 11.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
12. 12.📋 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
13. 13.📋 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
14. 14.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
15. 15.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
16. 16.❌ Tara’s leaf identifier was tested on 50 new leaf photos and got 45 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
18. 18.🧪 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
19. 19.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
22. 22.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
24. 24.🎯 Meera’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
26. 26.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
27. 27.📦 Ananya collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
29. 29.❌ Ishaan’s fruit sorter was tested on 16 new fruit photos and got 15 right. How many did it get wrong?
30. 30.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
32. 32.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
33. 33.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
34. 34.❌ Kabir’s bird-song app was tested on 18 new bird songs and got 14 right. How many did it get wrong?
35. 35.📦 Aarav collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
37. 37.🎯 Diya’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
38. 38.❌ Rohan’s spam spotter was tested on 27 new messages and got 18 right. How many did it get wrong?
39. 39.📋 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
40. 40.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy

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