Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 816 · 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.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
2. 2.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
3. 3.📋 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
4. 4.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
5. 5.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
7. 7.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
8. 8.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
9. 9.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
10. 10.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
11. 11.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
12. 12.❌ Vihaan’s spam spotter was tested on 40 new messages and got 37 right. How many did it get wrong?
13. 13.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
14. 14.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
15. 15.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
16. 16.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
17. 17.📋 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
18. 18.📦 Saanvi collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
20. 20.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
21. 21.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
22. 22.🧪 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
23. 23.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
24. 24.📦 Meera collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
26. 26.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
28. 28.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
29. 29.❌ Tara’s leaf identifier was tested on 41 new leaf photos and got 35 right. How many did it get wrong?
30. 30.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
31. 31.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
33. 33.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
34. 34.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
35. 35.🎯 Tara’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
36. 36.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
38. 38.🎯 Ishaan’s handwriting reader was tested on 50 new handwritten letters and got 41 right. What is its accuracy in percent?
39. 39.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
40. 40.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?

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