Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 903 · 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.❌ Arjun’s fruit sorter was tested on 47 new fruit photos and got 45 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
3. 3.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
4. 4.❌ Diya’s fruit sorter was tested on 43 new fruit photos and got 41 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
7. 7.📦 Diya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
9. 9.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
10. 10.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
13. 13.📋 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
14. 14.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
15. 15.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
16. 16.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
18. 18.❌ Nisha’s leaf identifier was tested on 21 new leaf photos and got 14 right. How many did it get wrong?
19. 19.🧪 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 make it bigger (d) to save paper
20. 20.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 40 right and Model B got 30 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
22. 22.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
23. 23.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
24. 24.⚖️ 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?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
26. 26.📦 Nisha collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Ananya’s leaf identifier was tested on 23 new leaf photos and got 15 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
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.❌ Kabir’s leaf identifier was tested on 39 new leaf photos and got 33 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
32. 32.❌ Saanvi’s fruit sorter was tested on 23 new fruit photos and got 14 right. How many did it get wrong?
33. 33.📦 Arjun collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
35. 35.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
37. 37.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
38. 38.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
39. 39.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
40. 40.📋 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

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