Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 554 · 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.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
2. 2.📦 Ishaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.❌ Saanvi’s leaf identifier was tested on 18 new leaf photos and got 15 right. How many did it get wrong?
4. 4.📦 Aarav collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
6. 6.🎯 Kabir’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
7. 7.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
8. 8.📦 Rohan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Kabir collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Aarav’s handwriting reader was tested on 43 new handwritten letters and got 37 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
12. 12.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
14. 14.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
15. 15.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
16. 16.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
17. 17.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
18. 18.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
20. 20.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
21. 21.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
22. 22.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
23. 23.❌ Vihaan’s fruit sorter was tested on 19 new fruit photos and got 18 right. How many did it get wrong?
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
25. 25.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
26. 26.❌ Rohan’s recycling sorter was tested on 30 new waste photos and got 26 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
28. 28.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 27 right and Model B got 26 right. How many percentage points more accurate is Model A?
29. 29.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
30. 30.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
31. 31.📦 Arjun collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 47 right and Model B got 26 right. How many percentage points more accurate is Model A?
33. 33.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
34. 34.📦 Diya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Kabir’s handwriting reader was tested on 50 new handwritten letters and got 47 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
37. 37.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
38. 38.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
39. 39.❌ Nisha’s leaf identifier was tested on 11 new leaf photos and got 10 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label

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