Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 676 · 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 — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
3. 3.📦 Saanvi collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
5. 5.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
6. 6.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
7. 7.📦 Ananya collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
9. 9.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
10. 10.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
11. 11.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
12. 12.📦 Meera collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Saanvi collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
16. 16.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
17. 17.❌ Arjun’s recycling sorter was tested on 46 new waste photos and got 44 right. How many did it get wrong?
18. 18.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
20. 20.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
21. 21.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
22. 22.📦 Arjun collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
24. 24.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
25. 25.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
27. 27.📋 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
28. 28.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
30. 30.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
31. 31.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
32. 32.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
33. 33.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
34. 34.📦 Vihaan collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
37. 37.🎯 Vihaan’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
38. 38.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
39. 39.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 33 right and Model B got 31 right. How many percentage points more accurate is Model A?
40. 40.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?

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