Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 188 · 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 — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
3. 3.📦 Saanvi collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
5. 5.❌ Saanvi’s recycling sorter was tested on 24 new waste photos and got 20 right. How many did it get wrong?
6. 6.📦 Rohan collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
8. 8.❌ Aarav’s bird-song app was tested on 26 new bird songs and got 24 right. How many did it get wrong?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
10. 10.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
12. 12.📦 Tara collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
14. 14.❌ Aarav’s bird-song app was tested on 16 new bird songs and got 13 right. How many did it get wrong?
15. 15.❌ Ishaan’s fruit sorter was tested on 19 new fruit photos and got 12 right. How many did it get wrong?
16. 16.📦 Nisha collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
18. 18.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 37 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
21. 21.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
22. 22.❌ Kabir’s recycling sorter was tested on 41 new waste photos and got 33 right. How many did it get wrong?
23. 23.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
25. 25.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
26. 26.❌ Aarav’s recycling sorter was tested on 38 new waste photos and got 37 right. How many did it get wrong?
27. 27.📋 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
28. 28.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 40 right and Model B got 37 right. How many percentage points more accurate is Model A?
29. 29.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
30. 30.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
31. 31.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
32. 32.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
34. 34.🎯 Arjun’s spam spotter was tested on 25 new messages and got 22 right. What is its accuracy in percent?
35. 35.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
36. 36.📦 Ananya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
38. 38.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns

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