Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 726 · 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.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
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.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
4. 4.🧪 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
5. 5.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
7. 7.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
8. 8.❌ Arjun’s handwriting reader was tested on 38 new handwritten letters and got 31 right. How many did it get wrong?
9. 9.📦 Kabir collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
11. 11.📦 Meera collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.❌ Diya’s bird-song app was tested on 47 new bird songs and got 42 right. How many did it get wrong?
13. 13.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 50 new fruit photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
15. 15.🎯 Ananya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
16. 16.📦 Arjun collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
18. 18.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
19. 19.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
20. 20.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 13 right. How many percentage points more accurate is Model A?
21. 21.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
22. 22.📦 Saanvi collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.❌ Nisha’s handwriting reader was tested on 22 new handwritten letters and got 15 right. How many did it get wrong?
24. 24.🧪 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
25. 25.📦 Ishaan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
27. 27.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
29. 29.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
30. 30.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
31. 31.📦 Saanvi collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
32. 32.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
33. 33.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
34. 34.📦 Diya collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
37. 37.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
38. 38.📋 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
39. 39.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label

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