Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 671 · 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 — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
2. 2.📋 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
3. 3.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
4. 4.❌ Saanvi’s leaf identifier was tested on 41 new leaf photos and got 40 right. How many did it get wrong?
5. 5.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
6. 6.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
7. 7.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
8. 8.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
9. 9.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
10. 10.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
11. 11.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
12. 12.❌ Kabir’s fruit sorter was tested on 19 new fruit photos and got 15 right. How many did it get wrong?
13. 13.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
14. 14.❌ Rohan’s bird-song app was tested on 23 new bird songs and got 19 right. How many did it get wrong?
15. 15.📋 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
16. 16.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
18. 18.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
19. 19.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
20. 20.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
21. 21.📦 Aarav collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Saanvi collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
25. 25.📦 Kabir collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
27. 27.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
28. 28.📋 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
29. 29.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
30. 30.🧪 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
31. 31.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
32. 32.❌ Kabir’s leaf identifier was tested on 30 new leaf photos and got 24 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
34. 34.📦 Tara collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
36. 36.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
37. 37.📦 Ishaan collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 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
39. 39.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
40. 40.❌ Vihaan’s bird-song app was tested on 22 new bird songs and got 21 right. How many did it get wrong?

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