Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 814 · 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.🧪 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
2. 2.📦 Vihaan collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.📦 Arjun collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
5. 5.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
7. 7.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
8. 8.❌ Vihaan’s fruit sorter was tested on 22 new fruit photos and got 21 right. How many did it get wrong?
9. 9.❌ Kabir’s recycling sorter was tested on 49 new waste photos and got 40 right. How many did it get wrong?
10. 10.📋 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
11. 11.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
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 — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
14. 14.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 49 right. What is its accuracy in percent?
15. 15.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
17. 17.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
18. 18.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
19. 19.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
21. 21.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
22. 22.📦 Ananya collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 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
24. 24.🎯 Nisha’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
25. 25.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
26. 26.📦 Aarav collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 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
28. 28.📋 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
29. 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
30. 30.📋 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
31. 31.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 44 right. How many percentage points more accurate is Model A?
32. 32.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
34. 34.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 26 right. What is its accuracy in percent?
35. 35.📦 Aarav collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
37. 37.📦 Meera collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
39. 39.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
40. 40.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples

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