Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 852 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
2. 2.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
3. 3.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 11 right. How many percentage points more accurate is Model A?
4. 4.📦 Nisha collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
6. 6.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
7. 7.📦 Kabir collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
11. 11.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
14. 14.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 41 right. What is its accuracy in percent?
15. 15.📋 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
16. 16.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
18. 18.📦 Nisha collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.❌ Ishaan’s fruit sorter was tested on 37 new fruit photos and got 28 right. How many did it get wrong?
20. 20.❌ Rohan’s recycling sorter was tested on 14 new waste photos and got 13 right. How many did it get wrong?
21. 21.❌ Saanvi’s fruit sorter was tested on 19 new fruit photos and got 15 right. How many did it get wrong?
22. 22.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
23. 23.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
25. 25.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
26. 26.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
27. 27.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
31. 31.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
32. 32.❌ Tara’s leaf identifier was tested on 19 new leaf photos and got 12 right. How many did it get wrong?
33. 33.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
34. 34.🎯 Arjun’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
35. 35.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 22 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
37. 37.🎯 Meera’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
39. 39.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test

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