Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 488 · 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 — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
2. 2.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
4. 4.📋 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
5. 5.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
7. 7.📦 Vihaan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
9. 9.🧪 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
10. 10.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
11. 11.📦 Vihaan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Rohan’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
13. 13.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
15. 15.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
16. 16.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
18. 18.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
19. 19.❌ Tara’s leaf identifier was tested on 18 new leaf photos and got 13 right. How many did it get wrong?
20. 20.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
21. 21.❌ Kabir’s leaf identifier was tested on 13 new leaf photos and got 12 right. How many did it get wrong?
22. 22.❌ Diya’s handwriting reader was tested on 13 new handwritten letters and got 10 right. How many did it get wrong?
23. 23.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
26. 26.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
27. 27.⚖️ 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?
28. 28.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
29. 29.🧪 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
30. 30.❌ Ishaan’s bird-song app was tested on 21 new bird songs and got 17 right. How many did it get wrong?
31. 31.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 36 right and Model B got 25 right. How many percentage points more accurate is Model A?
32. 32.📋 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
33. 33.📦 Nisha collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
35. 35.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
36. 36.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
37. 37.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
39. 39.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
40. 40.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?

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