Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 998 · 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 — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
2. 2.📋 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
3. 3.📦 Ananya collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
4. 4.❌ Tara’s leaf identifier was tested on 42 new leaf photos and got 39 right. How many did it get wrong?
5. 5.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
6. 6.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 17 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
8. 8.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
9. 9.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
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.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
12. 12.❌ Diya’s recycling sorter was tested on 31 new waste photos and got 25 right. How many did it get wrong?
13. 13.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
14. 14.❌ Ananya’s recycling sorter was tested on 28 new waste photos and got 19 right. How many did it get wrong?
15. 15.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
16. 16.📦 Rohan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
18. 18.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
19. 19.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
22. 22.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
25. 25.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
26. 26.❌ Rohan’s spam spotter was tested on 48 new messages and got 40 right. How many did it get wrong?
27. 27.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
29. 29.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
30. 30.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
31. 31.📦 Aarav collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📦 Arjun collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Ananya’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
35. 35.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 30 right. How many percentage points more accurate is Model A?
36. 36.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
37. 37.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
38. 38.🎯 Vihaan’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
39. 39.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
40. 40.❌ Meera’s handwriting reader was tested on 49 new handwritten letters and got 43 right. How many did it get wrong?

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