Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 420 · 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.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
2. 2.📋 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
3. 3.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
4. 4.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
5. 5.📦 Nisha collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
8. 8.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
9. 9.❌ Diya’s recycling sorter was tested on 21 new waste photos and got 14 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
11. 11.❌ Aarav’s leaf identifier was tested on 36 new leaf photos and got 35 right. How many did it get wrong?
12. 12.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
13. 13.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
15. 15.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
16. 16.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
17. 17.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
18. 18.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
19. 19.🎯 Meera’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
20. 20.📦 Nisha collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
22. 22.🎯 Kabir’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
24. 24.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
25. 25.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
27. 27.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
28. 28.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
29. 29.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
30. 30.🎯 Ananya’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
31. 31.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
32. 32.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
33. 33.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
34. 34.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
35. 35.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
36. 36.❌ Rohan’s recycling sorter was tested on 31 new waste photos and got 23 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
38. 38.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
40. 40.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again

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