Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 891 · 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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
2. 2.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
4. 4.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
5. 5.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
6. 6.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
7. 7.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
8. 8.🎯 Diya’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
9. 9.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
10. 10.❌ Vihaan’s spam spotter was tested on 35 new messages and got 34 right. How many did it get wrong?
11. 11.❌ Saanvi’s handwriting reader was tested on 46 new handwritten letters and got 42 right. How many did it get wrong?
12. 12.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
13. 13.❌ Aarav’s spam spotter was tested on 25 new messages and got 23 right. How many did it get wrong?
14. 14.🎯 Nisha’s spam spotter was tested on 50 new messages and got 42 right. What is its accuracy in percent?
15. 15.📦 Saanvi collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
18. 18.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
19. 19.❌ Nisha’s leaf identifier was tested on 40 new leaf photos and got 34 right. How many did it get wrong?
20. 20.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
21. 21.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
23. 23.❌ Ishaan’s leaf identifier was tested on 27 new leaf photos and got 25 right. How many did it get wrong?
24. 24.❌ Vihaan’s fruit sorter was tested on 18 new fruit photos and got 14 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
26. 26.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
28. 28.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
29. 29.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
30. 30.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
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.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
34. 34.❌ Nisha’s fruit sorter was tested on 29 new fruit photos and got 27 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
36. 36.📦 Aarav collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
38. 38.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
39. 39.❌ Diya’s handwriting reader was tested on 36 new handwritten letters and got 35 right. How many did it get wrong?
40. 40.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?

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