Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 560 · 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 — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
2. 2.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
3. 3.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
4. 4.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
5. 5.📦 Vihaan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
7. 7.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
8. 8.❌ Diya’s leaf identifier was tested on 29 new leaf photos and got 27 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
10. 10.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
11. 11.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
13. 13.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
14. 14.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
16. 16.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 15 right. What is its accuracy in percent?
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
18. 18.📦 Aarav collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
20. 20.🧪 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
21. 21.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
22. 22.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
24. 24.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
25. 25.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
26. 26.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
27. 27.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 42 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
29. 29.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
30. 30.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
31. 31.❌ Tara’s spam spotter was tested on 42 new messages and got 41 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
33. 33.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
35. 35.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
36. 36.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
37. 37.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
39. 39.❌ Vihaan’s handwriting reader was tested on 37 new handwritten letters and got 34 right. How many did it get wrong?
40. 40.🎯 Arjun’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?

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