Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 705 · 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.🧪 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
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
3. 3.🎯 Rohan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
5. 5.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
7. 7.❌ Diya’s handwriting reader was tested on 15 new handwritten letters and got 11 right. How many did it get wrong?
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
9. 9.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
10. 10.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
11. 11.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
12. 12.❌ Ananya’s recycling sorter was tested on 35 new waste photos and got 33 right. How many did it get wrong?
13. 13.❌ Nisha’s leaf identifier was tested on 15 new leaf photos and got 10 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
15. 15.🎯 Arjun’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
17. 17.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
18. 18.❌ Ishaan’s leaf identifier was tested on 34 new leaf photos and got 30 right. How many did it get wrong?
19. 19.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
20. 20.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
21. 21.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 90 new waste photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
23. 23.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
24. 24.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
25. 25.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 25 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
27. 27.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
28. 28.📦 Kabir collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
31. 31.📦 Kabir collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 14 right and Model B got 12 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
35. 35.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
37. 37.❌ Kabir’s fruit sorter was tested on 42 new fruit photos and got 33 right. How many did it get wrong?
38. 38.❌ Ananya’s fruit sorter was tested on 32 new fruit photos and got 27 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
40. 40.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total

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