Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 424 · 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 — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
2. 2.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
3. 3.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
4. 4.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
5. 5.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
6. 6.🧪 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 save paper (d) to make it faster
7. 7.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
8. 8.📋 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
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
10. 10.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
12. 12.❌ Rohan’s leaf identifier was tested on 26 new leaf photos and got 21 right. How many did it get wrong?
13. 13.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
14. 14.❌ Aarav’s fruit sorter was tested on 19 new fruit photos and got 12 right. How many did it get wrong?
15. 15.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
16. 16.❌ Ananya’s leaf identifier was tested on 45 new leaf photos and got 40 right. How many did it get wrong?
17. 17.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
18. 18.🎯 Vihaan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
19. 19.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
20. 20.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
21. 21.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
23. 23.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 40 new waste photos, how many should it get right?
24. 24.📋 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
25. 25.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
26. 26.❌ Ananya’s spam spotter was tested on 47 new messages and got 41 right. How many did it get wrong?
27. 27.🎯 Tara’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
28. 28.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
29. 29.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
30. 30.📦 Saanvi collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
32. 32.📦 Vihaan collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Ananya’s spam spotter was tested on 20 new messages and got 10 right. What is its accuracy in percent?
34. 34.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 44 right and Model B got 30 right. How many percentage points more accurate is Model A?
36. 36.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
37. 37.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
38. 38.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
39. 39.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest

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