Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 318 · 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.❌ Aarav’s handwriting reader was tested on 39 new handwritten letters and got 36 right. How many did it get wrong?
2. 2.📦 Vihaan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
4. 4.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
6. 6.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
8. 8.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
10. 10.❌ Aarav’s fruit sorter was tested on 22 new fruit photos and got 18 right. How many did it get wrong?
11. 11.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
15. 15.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
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.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 31 right. How many percentage points more accurate is Model A?
18. 18.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
19. 19.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
20. 20.📦 Meera collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Vihaan’s spam spotter was tested on 40 new messages and got 37 right. How many did it get wrong?
22. 22.❌ Kabir’s bird-song app was tested on 39 new bird songs and got 38 right. How many did it get wrong?
23. 23.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
24. 24.❌ Arjun’s spam spotter was tested on 31 new messages and got 29 right. How many did it get wrong?
25. 25.📦 Rohan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Vihaan collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Rohan’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
29. 29.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
30. 30.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
31. 31.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
33. 33.❌ Aarav’s fruit sorter was tested on 16 new fruit photos and got 12 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
35. 35.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
36. 36.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
37. 37.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
38. 38.📋 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
39. 39.❌ Nisha’s leaf identifier was tested on 37 new leaf photos and got 32 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples

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