Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 553 · 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 — set aside test photos or train the model? (a) set aside test photos (b) train the model
2. 2.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
3. 3.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
5. 5.📋 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
6. 6.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 31 right. What is its accuracy in percent?
7. 7.📦 Meera collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
9. 9.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
10. 10.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
11. 11.📦 Nisha collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
13. 13.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
14. 14.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
15. 15.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
16. 16.📦 Diya collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Kabir’s fruit sorter was tested on 41 new fruit photos and got 40 right. How many did it get wrong?
18. 18.🎯 Arjun’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
20. 20.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
21. 21.📦 Tara collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
24. 24.❌ Nisha’s bird-song app was tested on 33 new bird songs and got 30 right. How many did it get wrong?
25. 25.🧪 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
26. 26.📦 Rohan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Kabir’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
28. 28.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
30. 30.📦 Diya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
32. 32.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
33. 33.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
35. 35.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
36. 36.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
37. 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
38. 38.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
39. 39.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns

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