Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 480 · 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.❌ Arjun’s handwriting reader was tested on 33 new handwritten letters and got 32 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
3. 3.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 16 right. How many percentage points more accurate is Model A?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
5. 5.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
6. 6.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
7. 7.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
8. 8.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
9. 9.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
10. 10.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
11. 11.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
12. 12.❌ Ananya’s leaf identifier was tested on 26 new leaf photos and got 21 right. How many did it get wrong?
13. 13.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
14. 14.📦 Vihaan collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
16. 16.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 44 right and Model B got 43 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
18. 18.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
20. 20.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
21. 21.📦 Ishaan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 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
23. 23.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
24. 24.🎯 Ananya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
25. 25.❌ Ishaan’s fruit sorter was tested on 50 new fruit photos and got 49 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
27. 27.❌ Saanvi’s leaf identifier was tested on 49 new leaf photos and got 40 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
29. 29.❌ Arjun’s handwriting reader was tested on 34 new handwritten letters and got 28 right. How many did it get wrong?
30. 30.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
31. 31.📦 Rohan collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
33. 33.🎯 Tara’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
35. 35.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
36. 36.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
37. 37.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
38. 38.❌ Aarav’s handwriting reader was tested on 39 new handwritten letters and got 37 right. How many did it get wrong?
39. 39.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
40. 40.📦 Meera collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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