Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 887 · 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.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
4. 4.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.📦 Vihaan collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
8. 8.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
9. 9.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
10. 10.❌ Saanvi’s leaf identifier was tested on 32 new leaf photos and got 23 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
12. 12.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 42 right. How many percentage points more accurate is Model A?
13. 13.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
15. 15.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 47 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
17. 17.❌ Tara’s leaf identifier was tested on 43 new leaf photos and got 38 right. How many did it get wrong?
18. 18.🎯 Rohan’s spam spotter was tested on 25 new messages and got 22 right. What is its accuracy in percent?
19. 19.❌ Diya’s leaf identifier was tested on 19 new leaf photos and got 11 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
21. 21.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
22. 22.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
23. 23.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
24. 24.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
25. 25.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
26. 26.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 23 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
28. 28.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
29. 29.📋 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
30. 30.❌ Meera’s spam spotter was tested on 25 new messages and got 19 right. How many did it get wrong?
31. 31.🎯 Ishaan’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
33. 33.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
34. 34.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
36. 36.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
37. 37.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
38. 38.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 30 right and Model B got 29 right. How many percentage points more accurate is Model A?
39. 39.🎯 Saanvi’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels

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