Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 889 · 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.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
3. 3.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
5. 5.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
6. 6.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
8. 8.📋 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
9. 9.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
11. 11.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
12. 12.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
13. 13.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
14. 14.🎯 Arjun’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
16. 16.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
18. 18.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
19. 19.📦 Aarav collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Arjun collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🧪 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
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
23. 23.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
24. 24.🎯 Aarav’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
26. 26.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
27. 27.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
28. 28.❌ Meera’s leaf identifier was tested on 29 new leaf photos and got 26 right. How many did it get wrong?
29. 29.❌ Meera’s spam spotter was tested on 44 new messages and got 35 right. How many did it get wrong?
30. 30.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 14 right. What is its accuracy in percent?
31. 31.📦 Saanvi collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Arjun’s fruit sorter was tested on 28 new fruit photos and got 20 right. How many did it get wrong?
33. 33.❌ Aarav’s leaf identifier was tested on 50 new leaf photos and got 45 right. How many did it get wrong?
34. 34.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
35. 35.🎯 Tara’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
37. 37.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
38. 38.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
40. 40.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos

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