Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 399 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
2. 2.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
3. 3.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
4. 4.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
5. 5.📦 Nisha collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
7. 7.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
8. 8.🧪 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
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
10. 10.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
11. 11.❌ Saanvi’s handwriting reader was tested on 34 new handwritten letters and got 31 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
14. 14.❌ Nisha’s handwriting reader was tested on 50 new handwritten letters and got 49 right. How many did it get wrong?
15. 15.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
16. 16.📦 Saanvi collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Meera collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 38 right. What is its accuracy in percent?
19. 19.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
20. 20.📋 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
21. 21.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
22. 22.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
23. 23.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
25. 25.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
27. 27.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
28. 28.❌ Rohan’s fruit sorter was tested on 35 new fruit photos and got 31 right. How many did it get wrong?
29. 29.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
30. 30.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
31. 31.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
33. 33.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
34. 34.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
36. 36.📦 Diya collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
38. 38.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
39. 39.📋 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
40. 40.❌ Ananya’s leaf identifier was tested on 43 new leaf photos and got 39 right. How many did it get wrong?

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