Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 49 · 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.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
2. 2.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
3. 3.❌ Kabir’s fruit sorter was tested on 35 new fruit photos and got 27 right. How many did it get wrong?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
5. 5.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
7. 7.❌ Ishaan’s leaf identifier was tested on 30 new leaf photos and got 26 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
9. 9.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
10. 10.❌ Tara’s leaf identifier was tested on 44 new leaf photos and got 42 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
12. 12.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
13. 13.📦 Vihaan collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 37 right. How many percentage points more accurate is Model A?
15. 15.📦 Vihaan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 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
17. 17.📋 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
18. 18.📦 Rohan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
20. 20.❌ Rohan’s handwriting reader was tested on 24 new handwritten letters and got 16 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
22. 22.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
23. 23.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 42 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
25. 25.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 47 right. What is its accuracy in percent?
26. 26.📦 Kabir collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
28. 28.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
31. 31.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
33. 33.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
34. 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
36. 36.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
39. 39.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
40. 40.❌ Saanvi’s bird-song app was tested on 43 new bird songs and got 40 right. How many did it get wrong?

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