Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 780 · 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 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?
2. 2.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
3. 3.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
4. 4.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
5. 5.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
7. 7.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
8. 8.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
10. 10.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
11. 11.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
12. 12.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
13. 13.📦 Nisha collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
15. 15.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
17. 17.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
18. 18.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
19. 19.🎯 Vihaan’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
20. 20.❌ Tara’s leaf identifier was tested on 27 new leaf photos and got 19 right. How many did it get wrong?
21. 21.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
23. 23.📦 Ananya collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 39 right. How many percentage points more accurate is Model A?
25. 25.📦 Meera collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
27. 27.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
29. 29.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
30. 30.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
31. 31.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
32. 32.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
33. 33.📦 Arjun collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
35. 35.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
36. 36.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
37. 37.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
38. 38.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
39. 39.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model

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