Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 38 · 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.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
2. 2.📋 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
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
4. 4.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
5. 5.📦 Arjun collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
7. 7.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
8. 8.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
9. 9.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
11. 11.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
12. 12.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
13. 13.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
15. 15.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
17. 17.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
18. 18.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
19. 19.📦 Diya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Saanvi collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
23. 23.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
24. 24.📋 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
25. 25.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
26. 26.❌ Aarav’s handwriting reader was tested on 43 new handwritten letters and got 41 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
28. 28.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
29. 29.❌ Kabir’s fruit sorter was tested on 21 new fruit photos and got 16 right. How many did it get wrong?
30. 30.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
34. 34.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
36. 36.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
37. 37.🎯 Arjun’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?
38. 38.❌ Tara’s recycling sorter was tested on 17 new waste photos and got 11 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
40. 40.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos

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