Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 876 · 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.🧪 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
2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
3. 3.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
4. 4.📦 Saanvi collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
6. 6.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
7. 7.📦 Nisha collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
9. 9.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
10. 10.📦 Ishaan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📦 Meera collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Ishaan’s bird-song app was tested on 50 new bird songs and got 41 right. What is its accuracy in percent?
13. 13.🎯 Ananya’s spam spotter was tested on 25 new messages and got 22 right. What is its accuracy in percent?
14. 14.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
16. 16.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 14 right. What is its accuracy in percent?
17. 17.❌ Saanvi’s leaf identifier was tested on 17 new leaf photos and got 12 right. How many did it get wrong?
18. 18.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 13 right and Model B got 12 right. How many percentage points more accurate is Model A?
19. 19.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
20. 20.❌ Ananya’s recycling sorter was tested on 25 new waste photos and got 20 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
22. 22.🎯 Rohan’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
25. 25.🎯 Arjun’s spam spotter was tested on 50 new messages and got 38 right. What is its accuracy in percent?
26. 26.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 48 right. What is its accuracy in percent?
27. 27.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 47 right. What is its accuracy in percent?
28. 28.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
29. 29.❌ Meera’s spam spotter was tested on 18 new messages and got 15 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
31. 31.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
32. 32.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
33. 33.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
35. 35.❌ Kabir’s handwriting reader was tested on 11 new handwritten letters and got 10 right. How many did it get wrong?
36. 36.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
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.🎯 Tara’s spam spotter was tested on 50 new messages and got 26 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos

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