Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 109 · 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 calculate percent right? (a) fix it and test again (b) calculate percent right
2. 2.📦 Ananya collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
4. 4.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 32 right. How many percentage points more accurate is Model A?
5. 5.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
6. 6.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
7. 7.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
9. 9.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
10. 10.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
11. 11.🧪 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
12. 12.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
13. 13.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
14. 14.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
15. 15.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
17. 17.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
18. 18.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
21. 21.❌ Rohan’s fruit sorter was tested on 19 new fruit photos and got 13 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
23. 23.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
24. 24.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
25. 25.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
26. 26.❌ Ananya’s fruit sorter was tested on 16 new fruit photos and got 12 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
28. 28.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
30. 30.📋 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
31. 31.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
32. 32.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 44 right. What is its accuracy in percent?
33. 33.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
34. 34.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 44 right and Model B got 33 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
37. 37.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
38. 38.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
39. 39.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve

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