Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 160 · 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.🧪 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 save paper (d) to make it faster
2. 2.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
3. 3.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
5. 5.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
7. 7.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
8. 8.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
9. 9.❌ Nisha’s fruit sorter was tested on 39 new fruit photos and got 34 right. How many did it get wrong?
10. 10.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
11. 11.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
12. 12.📦 Arjun collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.🎯 Ananya’s handwriting reader was tested on 50 new handwritten letters and got 35 right. What is its accuracy in percent?
17. 17.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
19. 19.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
20. 20.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
21. 21.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
22. 22.❌ Rohan’s spam spotter was tested on 41 new messages and got 37 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
24. 24.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
25. 25.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
26. 26.🎯 Arjun’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
28. 28.📋 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
29. 29.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
30. 30.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
31. 31.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
33. 33.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 39 right and Model B got 29 right. How many percentage points more accurate is Model A?
34. 34.❌ Vihaan’s recycling sorter was tested on 47 new waste photos and got 42 right. How many did it get wrong?
35. 35.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
36. 36.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
37. 37.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
38. 38.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
39. 39.❌ Rohan’s leaf identifier was tested on 24 new leaf photos and got 19 right. How many did it get wrong?
40. 40.❌ Tara’s spam spotter was tested on 18 new messages and got 16 right. How many did it get wrong?

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