Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 635 · 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.❌ Vihaan’s spam spotter was tested on 17 new messages and got 13 right. How many did it get wrong?
2. 2.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
3. 3.📦 Diya collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
5. 5.📦 Tara collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
8. 8.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
10. 10.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
11. 11.📦 Nisha collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
13. 13.📦 Vihaan collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 15 right. How many percentage points more accurate is Model A?
15. 15.🎯 Nisha’s handwriting reader was tested on 25 new handwritten letters and got 14 right. What is its accuracy in percent?
16. 16.📦 Ishaan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Diya’s leaf identifier was tested on 23 new leaf photos and got 20 right. How many did it get wrong?
18. 18.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
20. 20.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
23. 23.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 28 right. How many percentage points more accurate is Model A?
24. 24.❌ Rohan’s spam spotter was tested on 47 new messages and got 40 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
26. 26.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
27. 27.🎯 Tara’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
29. 29.📦 Meera collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?
31. 31.🎯 Tara’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
32. 32.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
33. 33.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
34. 34.❌ Arjun’s recycling sorter was tested on 39 new waste photos and got 38 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
36. 36.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
38. 38.❌ Saanvi’s fruit sorter was tested on 32 new fruit photos and got 24 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
40. 40.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model

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