Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 405 · 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.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
2. 2.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
4. 4.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
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.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
7. 7.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
8. 8.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
10. 10.📦 Arjun collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
12. 12.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
13. 13.❌ Aarav’s spam spotter was tested on 47 new messages and got 43 right. How many did it get wrong?
14. 14.🎯 Saanvi’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
16. 16.❌ Saanvi’s leaf identifier was tested on 31 new leaf photos and got 26 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
18. 18.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
19. 19.🧪 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
20. 20.📦 Ishaan collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
22. 22.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
23. 23.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
25. 25.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
26. 26.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
27. 27.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
28. 28.🎯 Ananya’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
29. 29.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
31. 31.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
32. 32.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
33. 33.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
34. 34.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 34 right. What is its accuracy in percent?
35. 35.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
36. 36.❌ Arjun’s handwriting reader was tested on 31 new handwritten letters and got 30 right. How many did it get wrong?
37. 37.📦 Rohan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.🧪 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
39. 39.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 35 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest

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