Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 784 · 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 bird-song app was tested on 50 new bird songs and got 30 right. What is its accuracy in percent?
2. 2.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
3. 3.❌ Meera’s handwriting reader was tested on 23 new handwritten letters and got 17 right. How many did it get wrong?
4. 4.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
5. 5.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
6. 6.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
7. 7.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
8. 8.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
9. 9.❌ Tara’s spam spotter was tested on 47 new messages and got 41 right. How many did it get wrong?
10. 10.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
11. 11.🎯 Rohan’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
12. 12.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
13. 13.⚖️ 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?
14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
16. 16.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
17. 17.📋 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
18. 18.📦 Aarav collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
20. 20.❌ Saanvi’s bird-song app was tested on 20 new bird songs and got 11 right. How many did it get wrong?
21. 21.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
22. 22.⚖️ 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?
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.🎯 Nisha’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
25. 25.📦 Rohan collected 120 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 — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
27. 27.📦 Nisha collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
30. 30.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
32. 32.📦 Rohan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
34. 34.❌ Kabir’s spam spotter was tested on 41 new messages and got 32 right. How many did it get wrong?
35. 35.❌ Diya’s spam spotter was tested on 25 new messages and got 18 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
37. 37.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
38. 38.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
40. 40.❌ Ishaan’s bird-song app was tested on 41 new bird songs and got 34 right. How many did it get wrong?

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