Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 660 · 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 bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
2. 2.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
3. 3.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
4. 4.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
5. 5.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
6. 6.🧪 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
7. 7.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
8. 8.📦 Arjun collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
10. 10.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
11. 11.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
13. 13.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
14. 14.📦 Saanvi collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
15. 15.❌ Nisha’s spam spotter was tested on 17 new messages and got 12 right. How many did it get wrong?
16. 16.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
17. 17.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 42 right. What is its accuracy in percent?
18. 18.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
19. 19.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
20. 20.📋 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
21. 21.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
22. 22.🎯 Rohan’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
24. 24.📦 Ishaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
26. 26.📦 Diya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
28. 28.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
29. 29.📦 Nisha collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
31. 31.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
33. 33.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
34. 34.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
35. 35.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
37. 37.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
38. 38.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
40. 40.🎯 Ishaan’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?

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