Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 675 · 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.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
2. 2.📋 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
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
4. 4.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
6. 6.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
8. 8.📋 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
9. 9.❌ Rohan’s spam spotter was tested on 35 new messages and got 30 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
11. 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
12. 12.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
13. 13.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 17 right. What is its accuracy in percent?
14. 14.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
15. 15.❌ Arjun’s leaf identifier was tested on 48 new leaf photos and got 39 right. How many did it get wrong?
16. 16.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
18. 18.🎯 Kabir’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
20. 20.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
22. 22.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
24. 24.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
25. 25.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
26. 26.📦 Diya collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Arjun’s spam spotter was tested on 36 new messages and got 34 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
29. 29.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
30. 30.📦 Nisha collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Ishaan’s fruit sorter was tested on 50 new fruit photos and got 44 right. How many did it get wrong?
32. 32.📦 Diya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Tara’s leaf identifier was tested on 16 new leaf photos and got 13 right. How many did it get wrong?
34. 34.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
36. 36.❌ Saanvi’s spam spotter was tested on 21 new messages and got 18 right. How many did it get wrong?
37. 37.📦 Rohan collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Ananya’s handwriting reader was tested on 33 new handwritten letters and got 31 right. How many did it get wrong?
39. 39.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos

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