Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 376 · 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 — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
2. 2.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
3. 3.📦 Aarav collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
5. 5.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
6. 6.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
7. 7.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
10. 10.📋 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
11. 11.📦 Rohan collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Nisha’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
13. 13.❌ Kabir’s bird-song app was tested on 23 new bird songs and got 17 right. How many did it get wrong?
14. 14.📦 Nisha collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
16. 16.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
17. 17.📋 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
18. 18.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
19. 19.❌ Saanvi’s spam spotter was tested on 28 new messages and got 23 right. How many did it get wrong?
20. 20.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
21. 21.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
22. 22.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
23. 23.📦 Saanvi collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
26. 26.📦 Tara collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
29. 29.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
30. 30.❌ Arjun’s spam spotter was tested on 19 new messages and got 16 right. How many did it get wrong?
31. 31.❌ Diya’s recycling sorter was tested on 19 new waste photos and got 16 right. How many did it get wrong?
32. 32.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
34. 34.❌ Kabir’s spam spotter was tested on 31 new messages and got 29 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
36. 36.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
37. 37.🎯 Meera’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
38. 38.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
40. 40.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?

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