Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 34 · 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 see if it learned (c) to make it bigger (d) to make it faster
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
3. 3.📦 Tara collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
6. 6.📋 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
7. 7.📦 Ananya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Ananya’s spam spotter was tested on 20 new messages and got 10 right. What is its accuracy in percent?
9. 9.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
11. 11.❌ Saanvi’s leaf identifier was tested on 24 new leaf photos and got 19 right. How many did it get wrong?
12. 12.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
13. 13.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
14. 14.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 38 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
16. 16.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
17. 17.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
19. 19.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
20. 20.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
22. 22.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
23. 23.📦 Aarav collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
26. 26.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
27. 27.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 10 right. How many percentage points more accurate is Model A?
28. 28.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
30. 30.📋 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
31. 31.🎯 Vihaan’s recycling sorter was tested on 50 new waste photos and got 44 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
33. 33.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
34. 34.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
35. 35.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
36. 36.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 19 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
38. 38.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
39. 39.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
40. 40.🎯 Aarav’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?

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