Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 255 · 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 faster (b) to save paper (c) to see if it learned (d) to make it bigger
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
3. 3.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
4. 4.📦 Nisha collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
6. 6.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
7. 7.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 40 right. How many percentage points more accurate is Model A?
8. 8.📦 Rohan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
11. 11.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
13. 13.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
15. 15.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
16. 16.📦 Meera collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 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
18. 18.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
19. 19.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
20. 20.📦 Arjun collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
22. 22.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
23. 23.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
25. 25.🧪 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
26. 26.📦 Meera collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.📦 Diya collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
29. 29.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 27 right. What is its accuracy in percent?
30. 30.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
31. 31.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
32. 32.🎯 Kabir’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
33. 33.🎯 Arjun’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
35. 35.📦 Ananya collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
37. 37.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
38. 38.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
39. 39.❌ Tara’s leaf identifier was tested on 19 new leaf photos and got 17 right. How many did it get wrong?
40. 40.📋 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

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