Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 920 · 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 — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
3. 3.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
4. 4.❌ Aarav’s handwriting reader was tested on 42 new handwritten letters and got 40 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
6. 6.❌ Rohan’s recycling sorter was tested on 43 new waste photos and got 38 right. How many did it get wrong?
7. 7.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
8. 8.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
9. 9.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
11. 11.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
12. 12.🎯 Diya’s spam spotter was tested on 50 new messages and got 25 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
14. 14.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
15. 15.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 30 right. What is its accuracy in percent?
16. 16.📦 Diya collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
18. 18.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
19. 19.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
21. 21.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
22. 22.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
24. 24.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 49 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
26. 26.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
27. 27.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
28. 28.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
29. 29.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
30. 30.🎯 Tara’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
31. 31.❌ Arjun’s spam spotter was tested on 42 new messages and got 38 right. How many did it get wrong?
32. 32.❌ Ishaan’s fruit sorter was tested on 47 new fruit photos and got 43 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
34. 34.❌ Rohan’s fruit sorter was tested on 50 new fruit photos and got 44 right. How many did it get wrong?
35. 35.❌ Saanvi’s handwriting reader was tested on 28 new handwritten letters and got 23 right. How many did it get wrong?
36. 36.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
38. 38.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
39. 39.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns

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