Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 465 · 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.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
3. 3.📦 Ishaan collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
5. 5.📋 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
6. 6.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
7. 7.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?
8. 8.📦 Aarav collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
10. 10.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
11. 11.📦 Diya collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
13. 13.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
14. 14.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
15. 15.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
16. 16.📋 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
17. 17.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
19. 19.📦 Rohan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
22. 22.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 47 right. How many percentage points more accurate is Model A?
23. 23.❌ Tara’s leaf identifier was tested on 37 new leaf photos and got 28 right. How many did it get wrong?
24. 24.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
25. 25.📋 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
26. 26.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
27. 27.🎯 Rohan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
29. 29.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
30. 30.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 47 right and Model B got 29 right. How many percentage points more accurate is Model A?
31. 31.📦 Tara collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 34 right. What is its accuracy in percent?
33. 33.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 50 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
35. 35.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
37. 37.📦 Rohan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
40. 40.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label

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