Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 80 · 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.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
3. 3.📋 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
4. 4.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
5. 5.📦 Saanvi collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
7. 7.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
10. 10.📦 Diya collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
12. 12.❌ Rohan’s recycling sorter was tested on 19 new waste photos and got 12 right. How many did it get wrong?
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.❌ Saanvi’s fruit sorter was tested on 27 new fruit photos and got 18 right. How many did it get wrong?
15. 15.❌ Diya’s fruit sorter was tested on 16 new fruit photos and got 12 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
17. 17.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
18. 18.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
19. 19.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
20. 20.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
21. 21.📦 Nisha collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
23. 23.📦 Nisha collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 43 right. What is its accuracy in percent?
25. 25.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
26. 26.❌ Ishaan’s recycling sorter was tested on 38 new waste photos and got 31 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
28. 28.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
29. 29.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
31. 31.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
32. 32.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
33. 33.📦 Arjun collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
35. 35.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
36. 36.❌ Saanvi’s handwriting reader was tested on 29 new handwritten letters and got 20 right. How many did it get wrong?
37. 37.📦 Diya collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Vihaan’s handwriting reader was tested on 12 new handwritten letters and got 11 right. How many did it get wrong?
39. 39.📋 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
40. 40.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?

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