Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 158 · 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.❌ Ananya’s recycling sorter was tested on 21 new waste photos and got 18 right. How many did it get wrong?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
3. 3.🎯 Aarav’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
4. 4.❌ Ananya’s recycling sorter was tested on 20 new waste photos and got 19 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
6. 6.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
7. 7.🧪 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
8. 8.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
9. 9.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
10. 10.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
13. 13.❌ Tara’s recycling sorter was tested on 33 new waste photos and got 26 right. How many did it get wrong?
14. 14.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
15. 15.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
16. 16.❌ Diya’s recycling sorter was tested on 16 new waste photos and got 14 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
18. 18.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
19. 19.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
20. 20.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
21. 21.❌ Aarav’s fruit sorter was tested on 31 new fruit photos and got 29 right. How many did it get wrong?
22. 22.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
23. 23.📋 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
24. 24.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
25. 25.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
26. 26.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
28. 28.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
29. 29.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
30. 30.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?
31. 31.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
33. 33.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
35. 35.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
36. 36.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
37. 37.❌ Kabir’s leaf identifier was tested on 25 new leaf photos and got 21 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
39. 39.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
40. 40.📦 Ishaan collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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