Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 608 · 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.📦 Saanvi collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
3. 3.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
4. 4.📋 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
5. 5.📦 Tara collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.❌ Ishaan’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
8. 8.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
9. 9.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
10. 10.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
11. 11.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
12. 12.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Arjun collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.📦 Kabir collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 22 right and Model B got 15 right. How many percentage points more accurate is Model A?
18. 18.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
19. 19.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
20. 20.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
22. 22.🎯 Tara’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
23. 23.📦 Arjun collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
25. 25.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
26. 26.❌ Ishaan’s recycling sorter was tested on 32 new waste photos and got 26 right. How many did it get wrong?
27. 27.❌ Saanvi’s leaf identifier was tested on 48 new leaf photos and got 40 right. How many did it get wrong?
28. 28.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
29. 29.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
31. 31.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
32. 32.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
34. 34.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
35. 35.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
36. 36.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 47 right and Model B got 25 right. How many percentage points more accurate is Model A?
37. 37.❌ Arjun’s fruit sorter was tested on 49 new fruit photos and got 48 right. How many did it get wrong?
38. 38.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
39. 39.❌ Ananya’s fruit sorter was tested on 38 new fruit photos and got 30 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test

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