Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 100 · 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 was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
3. 3.🎯 Saanvi’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
4. 4.❌ Ishaan’s fruit sorter was tested on 49 new fruit photos and got 41 right. How many did it get wrong?
5. 5.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
7. 7.❌ Arjun’s recycling sorter was tested on 41 new waste photos and got 38 right. How many did it get wrong?
8. 8.📦 Tara collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 29 right. How many percentage points more accurate is Model A?
10. 10.❌ Ishaan’s fruit sorter was tested on 13 new fruit photos and got 10 right. How many did it get wrong?
11. 11.📋 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
12. 12.📦 Arjun collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Kabir’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
14. 14.🧪 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 make it faster (d) to save paper
15. 15.📋 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
16. 16.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
17. 17.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
18. 18.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
19. 19.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
20. 20.❌ Saanvi’s fruit sorter was tested on 17 new fruit photos and got 15 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
22. 22.🧪 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
23. 23.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
25. 25.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
26. 26.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
27. 27.🎯 Ananya’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
28. 28.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
29. 29.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
31. 31.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
32. 32.❌ Tara’s fruit sorter was tested on 19 new fruit photos and got 10 right. How many did it get wrong?
33. 33.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
34. 34.❌ Diya’s recycling sorter was tested on 22 new waste photos and got 21 right. How many did it get wrong?
35. 35.📦 Ananya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
37. 37.❌ Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 17 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
39. 39.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort

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