Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 778 · 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.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
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.❌ Arjun’s handwriting reader was tested on 15 new handwritten letters and got 11 right. How many did it get wrong?
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
5. 5.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
6. 6.❌ Tara’s fruit sorter was tested on 50 new fruit photos and got 49 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
8. 8.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
9. 9.📦 Kabir collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
11. 11.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
12. 12.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
15. 15.📦 Arjun collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Kabir collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
18. 18.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
19. 19.❌ Tara’s fruit sorter was tested on 17 new fruit photos and got 10 right. How many did it get wrong?
20. 20.🎯 Ananya’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
22. 22.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
23. 23.🎯 Arjun’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
26. 26.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
27. 27.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
29. 29.📦 Saanvi collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Ishaan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
32. 32.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
33. 33.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
35. 35.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
36. 36.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
37. 37.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
38. 38.📋 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
39. 39.❌ Diya’s leaf identifier was tested on 34 new leaf photos and got 32 right. How many did it get wrong?
40. 40.📦 Saanvi collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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