Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 907 · 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) fewer examples (c) a louder speaker (d) more labelled examples
2. 2.📦 Saanvi collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
4. 4.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
5. 5.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
6. 6.🎯 Rohan’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
7. 7.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
8. 8.❌ Saanvi’s recycling sorter was tested on 40 new waste photos and got 31 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
10. 10.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
11. 11.❌ Arjun’s leaf identifier was tested on 19 new leaf photos and got 18 right. How many did it get wrong?
12. 12.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
13. 13.🎯 Arjun’s bird-song app was tested on 50 new bird songs and got 39 right. What is its accuracy in percent?
14. 14.🧪 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
15. 15.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
17. 17.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
18. 18.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 29 right and Model B got 26 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
20. 20.📦 Tara collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
22. 22.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
23. 23.📦 Aarav collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
26. 26.📦 Rohan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Ishaan’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
28. 28.🎯 Ananya’s spam spotter was tested on 50 new messages and got 25 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
30. 30.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
31. 31.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
32. 32.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
34. 34.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
35. 35.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
36. 36.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 39 right. How many percentage points more accurate is Model A?
38. 38.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
39. 39.❌ Rohan’s bird-song app was tested on 24 new bird songs and got 22 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right

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