Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 282 · 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.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
3. 3.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
4. 4.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
5. 5.📦 Meera collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
7. 7.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
8. 8.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
10. 10.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
11. 11.🎯 Vihaan’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
14. 14.📦 Ishaan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
16. 16.📦 Nisha collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
18. 18.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
19. 19.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
20. 20.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
22. 22.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
23. 23.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
24. 24.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
26. 26.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
27. 27.📋 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
28. 28.❌ Tara’s handwriting reader was tested on 30 new handwritten letters and got 24 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
30. 30.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
33. 33.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
34. 34.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
36. 36.❌ Kabir’s bird-song app was tested on 16 new bird songs and got 12 right. How many did it get wrong?
37. 37.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
39. 39.🎯 Saanvi’s recycling sorter was tested on 25 new waste photos and got 19 right. What is its accuracy in percent?
40. 40.📋 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

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