Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 340 · 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 — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
2. 2.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
3. 3.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
4. 4.📦 Vihaan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
7. 7.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
8. 8.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
10. 10.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
11. 11.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
12. 12.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
14. 14.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
15. 15.❌ Diya’s spam spotter was tested on 36 new messages and got 27 right. How many did it get wrong?
16. 16.📦 Vihaan collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
18. 18.📦 Ananya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Diya collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
21. 21.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
22. 22.🎯 Kabir’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
24. 24.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
25. 25.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
26. 26.🎯 Kabir’s spam spotter was tested on 50 new messages and got 34 right. What is its accuracy in percent?
27. 27.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 30 right. What is its accuracy in percent?
28. 28.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
29. 29.❌ Arjun’s spam spotter was tested on 20 new messages and got 14 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
31. 31.📋 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
32. 32.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
33. 33.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 16 right. How many percentage points more accurate is Model A?
34. 34.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
36. 36.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
37. 37.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
38. 38.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
39. 39.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels

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