Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 626 · 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.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
3. 3.❌ Ishaan’s leaf identifier was tested on 36 new leaf photos and got 30 right. How many did it get wrong?
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
5. 5.❌ Ishaan’s handwriting reader was tested on 38 new handwritten letters and got 35 right. How many did it get wrong?
6. 6.📦 Rohan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 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
8. 8.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
9. 9.🎯 Rohan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
10. 10.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
11. 11.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
12. 12.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
14. 14.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
15. 15.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
16. 16.📦 Ananya collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
19. 19.📦 Ananya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Nisha collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
24. 24.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
26. 26.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
28. 28.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
29. 29.❌ Ananya’s fruit sorter was tested on 37 new fruit photos and got 30 right. How many did it get wrong?
30. 30.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
32. 32.❌ Aarav’s fruit sorter was tested on 29 new fruit photos and got 27 right. How many did it get wrong?
33. 33.❌ Diya’s handwriting reader was tested on 17 new handwritten letters and got 16 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
35. 35.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
36. 36.📦 Vihaan collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Vihaan’s spam spotter was tested on 49 new messages and got 46 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
39. 39.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
40. 40.📦 Saanvi collected 110 labelled waste photos for a recycling sorter 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