Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 332 · 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.❌ Rohan’s spam spotter was tested on 43 new messages and got 34 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
3. 3.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
4. 4.📋 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
5. 5.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
7. 7.🧪 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
8. 8.❌ Ananya’s spam spotter was tested on 39 new messages and got 35 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
10. 10.📦 Vihaan collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
13. 13.📋 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
14. 14.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
15. 15.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 42 right. What is its accuracy in percent?
16. 16.🧪 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
17. 17.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
18. 18.📦 Meera collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
21. 21.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
22. 22.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
23. 23.🎯 Kabir’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
24. 24.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
26. 26.📦 Diya collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
29. 29.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
31. 31.❌ Vihaan’s handwriting reader was tested on 44 new handwritten letters and got 38 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
33. 33.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
34. 34.⚖️ 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?
35. 35.🎯 Arjun’s spam spotter was tested on 50 new messages and got 49 right. What is its accuracy in percent?
36. 36.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
38. 38.📦 Kabir collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.❌ Saanvi’s leaf identifier was tested on 35 new leaf photos and got 34 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns

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