Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 363 · 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.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
2. 2.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
4. 4.🧪 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 faster (d) to make it bigger
5. 5.❌ Diya’s handwriting reader was tested on 40 new handwritten letters and got 35 right. How many did it get wrong?
6. 6.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
7. 7.📦 Aarav collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Kabir’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
10. 10.📦 Saanvi collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
12. 12.📋 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
13. 13.📦 Arjun collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Saanvi’s bird-song app was tested on 19 new bird songs and got 17 right. How many did it get wrong?
15. 15.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
17. 17.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
19. 19.📦 Saanvi collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
21. 21.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
22. 22.🎯 Aarav’s spam spotter was tested on 50 new messages and got 42 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
24. 24.❌ Vihaan’s spam spotter was tested on 36 new messages and got 28 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
26. 26.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
27. 27.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
28. 28.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
29. 29.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
30. 30.🎯 Saanvi’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
32. 32.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
34. 34.❌ Saanvi’s leaf identifier was tested on 38 new leaf photos and got 34 right. How many did it get wrong?
35. 35.🎯 Rohan’s spam spotter was tested on 50 new messages and got 48 right. What is its accuracy in percent?
36. 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
39. 39.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
40. 40.📋 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

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