Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 130 · 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.❌ Nisha’s handwriting reader was tested on 38 new handwritten letters and got 32 right. How many did it get wrong?
2. 2.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
4. 4.🧪 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
5. 5.📋 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
6. 6.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
7. 7.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
8. 8.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
9. 9.🎯 Ishaan’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
10. 10.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
11. 11.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
12. 12.❌ Tara’s bird-song app was tested on 34 new bird songs and got 30 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
14. 14.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 34 right and Model B got 33 right. How many percentage points more accurate is Model A?
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
16. 16.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
17. 17.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 44 right and Model B got 42 right. How many percentage points more accurate is Model A?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
19. 19.❌ Diya’s bird-song app was tested on 28 new bird songs and got 23 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
21. 21.🎯 Rohan’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
23. 23.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
24. 24.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
25. 25.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
26. 26.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
28. 28.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
29. 29.📦 Ishaan collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
31. 31.❌ Arjun’s leaf identifier was tested on 32 new leaf photos and got 28 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
34. 34.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
35. 35.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
36. 36.❌ Arjun’s fruit sorter was tested on 34 new fruit photos and got 28 right. How many did it get wrong?
37. 37.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 38 right. How many percentage points more accurate is Model A?
38. 38.📦 Arjun collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.❌ Ananya’s bird-song app was tested on 23 new bird songs and got 15 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos

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