Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 468 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
2. 2.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
3. 3.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
4. 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
5. 5.❌ Diya’s spam spotter was tested on 11 new messages and got 10 right. How many did it get wrong?
6. 6.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
7. 7.📦 Saanvi collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
10. 10.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
11. 11.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
12. 12.📦 Diya collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
14. 14.📦 Tara collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
16. 16.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
17. 17.📦 Saanvi collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
19. 19.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
20. 20.❌ Arjun’s fruit sorter was tested on 46 new fruit photos and got 41 right. How many did it get wrong?
21. 21.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
22. 22.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
23. 23.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
25. 25.🧪 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
26. 26.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
28. 28.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
30. 30.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
31. 31.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
32. 32.❌ Saanvi’s fruit sorter was tested on 15 new fruit photos and got 14 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
34. 34.🎯 Arjun’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
35. 35.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
37. 37.🎯 Ishaan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
39. 39.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
40. 40.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples

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