Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 597 · 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 fix it and test again? (a) set aside test photos (b) fix it and test again
2. 2.📦 Nisha collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
5. 5.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
6. 6.📦 Meera collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
9. 9.🎯 Diya’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
12. 12.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
13. 13.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
14. 14.🎯 Saanvi’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
16. 16.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
18. 18.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
19. 19.❌ Rohan’s leaf identifier was tested on 40 new leaf photos and got 33 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
21. 21.❌ Aarav’s bird-song app was tested on 27 new bird songs and got 26 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
23. 23.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
25. 25.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
27. 27.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
28. 28.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
30. 30.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
31. 31.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
32. 32.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
33. 33.📦 Kabir collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
35. 35.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
36. 36.🎯 Kabir’s spam spotter was tested on 50 new messages and got 37 right. What is its accuracy in percent?
37. 37.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
38. 38.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
40. 40.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels

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