Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 430 · 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.❌ Nisha’s fruit sorter was tested on 49 new fruit photos and got 46 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
3. 3.❌ Diya’s fruit sorter was tested on 16 new fruit photos and got 10 right. How many did it get wrong?
4. 4.🧪 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
5. 5.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 36 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
7. 7.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
8. 8.🎯 Tara’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
10. 10.📋 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
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
12. 12.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
13. 13.❌ Saanvi’s bird-song app was tested on 18 new bird songs and got 16 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
15. 15.🎯 Ananya’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
16. 16.🎯 Saanvi’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
17. 17.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
18. 18.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
20. 20.📦 Kabir collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
23. 23.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
24. 24.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 35 right. How many percentage points more accurate is Model A?
26. 26.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
27. 27.🎯 Nisha’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
28. 28.🎯 Aarav’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
31. 31.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
32. 32.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
34. 34.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
35. 35.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
36. 36.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
37. 37.📦 Meera collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
39. 39.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest

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