Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 208 · 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.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
3. 3.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
5. 5.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
6. 6.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
9. 9.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
10. 10.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
11. 11.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
13. 13.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
14. 14.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
15. 15.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
18. 18.📦 Tara collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
20. 20.❌ Kabir’s fruit sorter was tested on 20 new fruit photos and got 11 right. How many did it get wrong?
21. 21.📦 Diya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 15 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
24. 24.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
25. 25.📦 Arjun collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
27. 27.📦 Vihaan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
31. 31.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
32. 32.🎯 Tara’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
33. 33.📦 Nisha collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
35. 35.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
37. 37.📋 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
38. 38.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
39. 39.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 27 right. How many percentage points more accurate is Model A?
40. 40.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?

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