Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 743 · 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) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
2. 2.📋 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
3. 3.📦 Tara collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.📦 Rohan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
6. 6.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
7. 7.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
8. 8.📦 Meera collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
10. 10.📦 Diya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
12. 12.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
13. 13.❌ Saanvi’s leaf identifier was tested on 16 new leaf photos and got 12 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
15. 15.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 41 right. What is its accuracy in percent?
16. 16.📦 Ishaan collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Rohan collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 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
19. 19.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
20. 20.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
21. 21.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
22. 22.❌ Ishaan’s leaf identifier was tested on 17 new leaf photos and got 10 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
25. 25.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
26. 26.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
27. 27.📦 Meera collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Diya’s recycling sorter was tested on 46 new waste photos and got 42 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
30. 30.📦 Tara collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
32. 32.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 18 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
34. 34.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 50 new fruit photos, how many should it get right?
35. 35.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
36. 36.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
38. 38.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
40. 40.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos

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