Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 445 · 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.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
3. 3.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
4. 4.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
5. 5.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
6. 6.📦 Diya collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 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
8. 8.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
9. 9.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
11. 11.📦 Kabir collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 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
13. 13.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
14. 14.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
15. 15.📋 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
16. 16.📦 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?
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.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
19. 19.📦 Arjun collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
21. 21.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
22. 22.📦 Rohan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Saanvi collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
25. 25.🎯 Saanvi’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
26. 26.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 43 right. What is its accuracy in percent?
27. 27.❌ Aarav’s spam spotter was tested on 33 new messages and got 27 right. How many did it get wrong?
28. 28.📦 Meera collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
30. 30.📦 Aarav collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Kabir’s leaf identifier was tested on 13 new leaf photos and got 12 right. How many did it get wrong?
32. 32.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
34. 34.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
35. 35.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
38. 38.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 34 right and Model B got 27 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
40. 40.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?

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