Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 242 · 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 save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
2. 2.❌ Kabir’s recycling sorter was tested on 24 new waste photos and got 16 right. How many did it get wrong?
3. 3.📋 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
4. 4.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
5. 5.📋 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
6. 6.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
7. 7.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
8. 8.📦 Rohan collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
10. 10.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
11. 11.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
12. 12.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
13. 13.📦 Nisha collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 100 new messages, how many should it get right?
15. 15.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
17. 17.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
18. 18.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
19. 19.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
21. 21.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
22. 22.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
24. 24.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
26. 26.❌ Diya’s spam spotter was tested on 16 new messages and got 14 right. How many did it get wrong?
27. 27.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 14 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
29. 29.📦 Aarav collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
31. 31.🎯 Nisha’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
34. 34.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
35. 35.❌ Ananya’s leaf identifier was tested on 22 new leaf photos and got 19 right. How many did it get wrong?
36. 36.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
37. 37.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 33 right and Model B got 31 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
39. 39.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
40. 40.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?

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