Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 157 · 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.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
2. 2.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
3. 3.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
5. 5.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
6. 6.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
8. 8.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
9. 9.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
10. 10.📦 Nisha collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
12. 12.❌ Kabir’s leaf identifier was tested on 28 new leaf photos and got 26 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
14. 14.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
15. 15.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
16. 16.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
17. 17.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
18. 18.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
20. 20.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
21. 21.🎯 Rohan’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
22. 22.❌ Meera’s bird-song app was tested on 45 new bird songs and got 39 right. How many did it get wrong?
23. 23.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
24. 24.🎯 Vihaan’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
25. 25.📦 Arjun collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
27. 27.📦 Meera collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Arjun’s bird-song app was tested on 50 new bird songs and got 45 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
30. 30.🧪 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
31. 31.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
32. 32.📦 Meera collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Arjun’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
34. 34.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
36. 36.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
37. 37.📦 Diya collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Tara’s leaf identifier was tested on 34 new leaf photos and got 32 right. How many did it get wrong?
39. 39.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
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