Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 331 · 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.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
2. 2.❌ Ishaan’s spam spotter was tested on 25 new messages and got 20 right. How many did it get wrong?
3. 3.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
5. 5.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
6. 6.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
7. 7.🎯 Nisha’s spam spotter was tested on 20 new messages and got 10 right. What is its accuracy in percent?
8. 8.❌ Kabir’s fruit sorter was tested on 22 new fruit photos and got 14 right. How many did it get wrong?
9. 9.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
10. 10.🎯 Arjun’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
11. 11.❌ Diya’s handwriting reader was tested on 30 new handwritten letters and got 29 right. How many did it get wrong?
12. 12.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
14. 14.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 25 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
16. 16.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
17. 17.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
19. 19.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
20. 20.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
21. 21.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
22. 22.🎯 Nisha’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
24. 24.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
25. 25.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
28. 28.🎯 Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
29. 29.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
30. 30.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
31. 31.📦 Vihaan collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
33. 33.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
34. 34.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
36. 36.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
37. 37.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
38. 38.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
40. 40.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type

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