Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 655 · 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.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
2. 2.📦 Diya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
4. 4.❌ Kabir’s fruit sorter was tested on 20 new fruit photos and got 19 right. How many did it get wrong?
5. 5.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
7. 7.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
8. 8.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
9. 9.❌ Kabir’s bird-song app was tested on 47 new bird songs and got 39 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
11. 11.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
12. 12.📋 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
13. 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
15. 15.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
16. 16.❌ Ishaan’s leaf identifier was tested on 27 new leaf photos and got 22 right. How many did it get wrong?
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
20. 20.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
21. 21.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
22. 22.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
23. 23.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
24. 24.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
26. 26.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
27. 27.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 42 right and Model B got 26 right. How many percentage points more accurate is Model A?
28. 28.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
34. 34.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
36. 36.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 30 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
38. 38.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
39. 39.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
40. 40.📦 Diya collected 80 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