Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 228 · 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 — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
2. 2.📋 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
3. 3.🎯 Aarav’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
4. 4.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
5. 5.📦 Meera collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
7. 7.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
9. 9.🧪 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
10. 10.📦 Diya collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 17 right. How many percentage points more accurate is Model A?
12. 12.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
13. 13.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
14. 14.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
16. 16.❌ Arjun’s leaf identifier was tested on 48 new leaf photos and got 42 right. How many did it get wrong?
17. 17.❌ Saanvi’s recycling sorter was tested on 15 new waste photos and got 10 right. How many did it get wrong?
18. 18.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 42 right. What is its accuracy in percent?
19. 19.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
20. 20.📦 Arjun collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
22. 22.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
23. 23.🧪 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
24. 24.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 40 right and Model B got 38 right. How many percentage points more accurate is Model A?
25. 25.📦 Kabir collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Saanvi’s bird-song app was tested on 37 new bird songs and got 34 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
28. 28.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
29. 29.❌ Saanvi’s bird-song app was tested on 47 new bird songs and got 46 right. How many did it get wrong?
30. 30.🎯 Ananya’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
31. 31.📦 Meera collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
33. 33.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
35. 35.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
37. 37.❌ Arjun’s handwriting reader was tested on 40 new handwritten letters and got 38 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
39. 39.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
40. 40.❌ Ishaan’s handwriting reader was tested on 36 new handwritten letters and got 35 right. How many did it get wrong?

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