Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 650 · 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.📦 Tara collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Tara collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
6. 6.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
7. 7.📦 Aarav collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
9. 9.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
10. 10.📦 Meera collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
11. 11.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 33 right and Model B got 27 right. How many percentage points more accurate is Model A?
12. 12.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
13. 13.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
14. 14.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
16. 16.📦 Rohan collected 170 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 — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
18. 18.❌ Rohan’s spam spotter was tested on 38 new messages and got 35 right. How many did it get wrong?
19. 19.🧪 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
20. 20.📦 Aarav collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
22. 22.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
24. 24.📦 Ishaan collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
26. 26.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
28. 28.❌ Aarav’s recycling sorter was tested on 40 new waste photos and got 33 right. How many did it get wrong?
29. 29.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
30. 30.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
31. 31.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
32. 32.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
34. 34.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
35. 35.❌ Arjun’s leaf identifier was tested on 30 new leaf photos and got 29 right. How many did it get wrong?
36. 36.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 50 right. What is its accuracy in percent?
37. 37.🎯 Rohan’s spam spotter was tested on 50 new messages and got 37 right. What is its accuracy in percent?
38. 38.📋 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
39. 39.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples

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