Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 666 · 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 work out the accuracy? (a) try unseen examples (b) work out the accuracy
2. 2.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
4. 4.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
5. 5.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
7. 7.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
8. 8.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
9. 9.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
11. 11.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
12. 12.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
13. 13.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
14. 14.❌ Saanvi’s recycling sorter was tested on 24 new waste photos and got 21 right. How many did it get wrong?
15. 15.🎯 Kabir’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
17. 17.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
18. 18.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
20. 20.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
21. 21.❌ Aarav’s fruit sorter was tested on 35 new fruit photos and got 31 right. How many did it get wrong?
22. 22.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?
23. 23.❌ Tara’s spam spotter was tested on 32 new messages and got 26 right. How many did it get wrong?
24. 24.🎯 Meera’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
25. 25.🎯 Rohan’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
26. 26.🧪 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
27. 27.❌ Diya’s fruit sorter was tested on 32 new fruit photos and got 24 right. How many did it get wrong?
28. 28.❌ Arjun’s leaf identifier was tested on 42 new leaf photos and got 39 right. How many did it get wrong?
29. 29.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
30. 30.🎯 Ishaan’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
31. 31.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
32. 32.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
34. 34.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
35. 35.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
36. 36.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
37. 37.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
38. 38.❌ Tara’s fruit sorter was tested on 31 new fruit photos and got 30 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
40. 40.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label

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