Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 222 · 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 see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
2. 2.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
3. 3.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
4. 4.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
5. 5.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
6. 6.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
8. 8.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
9. 9.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
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.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
12. 12.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
13. 13.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
16. 16.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
17. 17.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 43 right. How many percentage points more accurate is Model A?
19. 19.❌ Nisha’s bird-song app was tested on 23 new bird songs and got 21 right. How many did it get wrong?
20. 20.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
21. 21.🎯 Tara’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
23. 23.🎯 Kabir’s spam spotter was tested on 50 new messages and got 47 right. What is its accuracy in percent?
24. 24.📋 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
25. 25.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
26. 26.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
27. 27.📦 Kabir collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
30. 30.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
31. 31.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
32. 32.❌ Kabir’s fruit sorter was tested on 26 new fruit photos and got 19 right. How many did it get wrong?
33. 33.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
34. 34.📦 Ishaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
37. 37.📦 Vihaan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
39. 39.📦 Aarav collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos

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