Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 32 · 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.❌ Meera’s handwriting reader was tested on 42 new handwritten letters and got 40 right. How many did it get wrong?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
4. 4.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
5. 5.❌ Rohan’s handwriting reader was tested on 34 new handwritten letters and got 32 right. How many did it get wrong?
6. 6.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
7. 7.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
8. 8.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
9. 9.❌ Vihaan’s handwriting reader was tested on 31 new handwritten letters and got 30 right. How many did it get wrong?
10. 10.❌ Arjun’s recycling sorter was tested on 19 new waste photos and got 17 right. How many did it get wrong?
11. 11.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
12. 12.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
14. 14.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
15. 15.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
17. 17.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
18. 18.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
19. 19.📦 Rohan collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
21. 21.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
22. 22.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
24. 24.📋 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
25. 25.📦 Saanvi collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
27. 27.📦 Tara collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
29. 29.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 25 right. What is its accuracy in percent?
30. 30.❌ Kabir’s fruit sorter was tested on 33 new fruit photos and got 31 right. How many did it get wrong?
31. 31.📦 Rohan collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Saanvi’s leaf identifier was tested on 23 new leaf photos and got 18 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
34. 34.📦 Vihaan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
36. 36.❌ Tara’s fruit sorter was tested on 29 new fruit photos and got 24 right. How many did it get wrong?
37. 37.📦 Saanvi collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Arjun’s spam spotter was tested on 47 new messages and got 46 right. How many did it get wrong?
39. 39.📋 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
40. 40.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest

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