Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 541 · 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 make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
2. 2.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
3. 3.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
4. 4.📦 Diya collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
6. 6.🎯 Ananya’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
7. 7.📦 Meera collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.📦 Tara collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
11. 11.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
12. 12.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
13. 13.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
14. 14.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
16. 16.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
17. 17.❌ Nisha’s recycling sorter was tested on 36 new waste photos and got 33 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
19. 19.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
20. 20.❌ Ishaan’s leaf identifier was tested on 11 new leaf photos and got 10 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
22. 22.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
23. 23.❌ Tara’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
25. 25.📦 Kabir collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 39 right. How many percentage points more accurate is Model A?
27. 27.📦 Tara collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
29. 29.❌ Arjun’s recycling sorter was tested on 33 new waste photos and got 29 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
32. 32.❌ Vihaan’s bird-song app was tested on 39 new bird songs and got 31 right. How many did it get wrong?
33. 33.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
36. 36.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 48 right and Model B got 42 right. How many percentage points more accurate is Model A?
37. 37.📦 Meera collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Kabir’s spam spotter was tested on 41 new messages and got 34 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
40. 40.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos

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