Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 939 · 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.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
2. 2.🎯 Kabir’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
3. 3.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
5. 5.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
7. 7.🎯 Meera’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
8. 8.📦 Saanvi collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
11. 11.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
12. 12.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
13. 13.📦 Ananya collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
16. 16.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
17. 17.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
18. 18.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
19. 19.📦 Ananya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
23. 23.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
24. 24.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
25. 25.🎯 Ishaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
27. 27.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
30. 30.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
31. 31.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
33. 33.📦 Saanvi collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
36. 36.📦 Vihaan collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
39. 39.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
40. 40.❌ Rohan’s spam spotter was tested on 44 new messages and got 36 right. How many did it get wrong?

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