Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 538 · 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 — split train and test or train the model? (a) split train and test (b) train the model
2. 2.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
3. 3.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
5. 5.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 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
7. 7.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
8. 8.❌ Arjun’s recycling sorter was tested on 30 new waste photos and got 27 right. How many did it get wrong?
9. 9.❌ Saanvi’s handwriting reader was tested on 23 new handwritten letters and got 16 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
11. 11.📦 Kabir collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
13. 13.❌ Kabir’s bird-song app was tested on 30 new bird songs and got 22 right. How many did it get wrong?
14. 14.📦 Tara collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
15. 15.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 43 right and Model B got 42 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
17. 17.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
18. 18.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
19. 19.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
21. 21.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
24. 24.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
25. 25.📦 Kabir collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
27. 27.🎯 Nisha’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
29. 29.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 47 right. What is its accuracy in percent?
30. 30.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
31. 31.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
33. 33.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
34. 34.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
35. 35.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
36. 36.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
37. 37.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
38. 38.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
39. 39.🧪 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
40. 40.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test

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