Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 365 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
2. 2.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 22 right. What is its accuracy in percent?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
4. 4.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
5. 5.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
7. 7.📦 Aarav collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 19 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
10. 10.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 42 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
13. 13.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
14. 14.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
15. 15.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
16. 16.❌ Saanvi’s spam spotter was tested on 39 new messages and got 37 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
18. 18.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
19. 19.❌ Ishaan’s spam spotter was tested on 30 new messages and got 24 right. How many did it get wrong?
20. 20.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 42 right. How many percentage points more accurate is Model A?
21. 21.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
22. 22.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
23. 23.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
24. 24.🎯 Kabir’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
25. 25.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
27. 27.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
28. 28.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 25 right. What is its accuracy in percent?
29. 29.❌ Vihaan’s recycling sorter was tested on 22 new waste photos and got 13 right. How many did it get wrong?
30. 30.❌ Ananya’s fruit sorter was tested on 31 new fruit photos and got 24 right. How many did it get wrong?
31. 31.📋 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
32. 32.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
33. 33.📦 Saanvi collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
35. 35.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
36. 36.📦 Nisha collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
38. 38.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
39. 39.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest

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