Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 151 · 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.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
2. 2.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
3. 3.❌ Kabir’s leaf identifier was tested on 45 new leaf photos and got 44 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
5. 5.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
7. 7.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
8. 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 23 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 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
10. 10.❌ Arjun’s fruit sorter was tested on 21 new fruit photos and got 20 right. How many did it get wrong?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
12. 12.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
13. 13.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
15. 15.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
17. 17.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
19. 19.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
20. 20.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
21. 21.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 48 right and Model B got 29 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
23. 23.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
25. 25.❌ Nisha’s recycling sorter was tested on 14 new waste photos and got 13 right. How many did it get wrong?
26. 26.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
27. 27.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
29. 29.📋 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
30. 30.❌ Ishaan’s recycling sorter was tested on 35 new waste photos and got 30 right. How many did it get wrong?
31. 31.🎯 Rohan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
32. 32.🎯 Ananya’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
33. 33.📦 Arjun collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 35 right. What is its accuracy in percent?
35. 35.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
36. 36.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
37. 37.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 13 right and Model B got 12 right. How many percentage points more accurate is Model A?
38. 38.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
39. 39.🎯 Diya’s spam spotter was tested on 25 new messages and got 23 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns

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