Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 310 · 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’s fruit sorter was tested on 19 new fruit photos and got 12 right. How many did it get wrong?
2. 2.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
3. 3.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 40 new messages, how many should it get right?
5. 5.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
6. 6.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
7. 7.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
8. 8.🎯 Tara’s recycling sorter was tested on 50 new waste photos and got 28 right. What is its accuracy in percent?
9. 9.🎯 Rohan’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
11. 11.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
12. 12.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 39 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
14. 14.🎯 Arjun’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
15. 15.📦 Vihaan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
17. 17.❌ Nisha’s bird-song app was tested on 28 new bird songs and got 27 right. How many did it get wrong?
18. 18.🎯 Ishaan’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
20. 20.🧪 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
21. 21.🎯 Arjun’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
22. 22.📦 Rohan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 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
24. 24.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 38 right. How many percentage points more accurate is Model A?
25. 25.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
26. 26.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
29. 29.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
30. 30.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 36 right and Model B got 25 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
32. 32.❌ Tara’s leaf identifier was tested on 21 new leaf photos and got 20 right. How many did it get wrong?
33. 33.❌ Aarav’s handwriting reader was tested on 43 new handwritten letters and got 38 right. How many did it get wrong?
34. 34.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
35. 35.❌ Aarav’s leaf identifier was tested on 22 new leaf photos and got 21 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
37. 37.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
38. 38.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
40. 40.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest

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