Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 789 · 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 bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
2. 2.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
3. 3.🎯 Vihaan’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
4. 4.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 38 right and Model B got 28 right. How many percentage points more accurate is Model A?
5. 5.❌ Saanvi’s leaf identifier was tested on 44 new leaf photos and got 42 right. How many did it get wrong?
6. 6.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
8. 8.❌ Rohan’s handwriting reader was tested on 19 new handwritten letters and got 18 right. How many did it get wrong?
9. 9.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
11. 11.🧪 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
12. 12.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
15. 15.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
17. 17.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
18. 18.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 39 right and Model B got 32 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
20. 20.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
21. 21.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
22. 22.📦 Meera collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Aarav collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
26. 26.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
27. 27.📦 Diya collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
29. 29.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
30. 30.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 25 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
32. 32.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
33. 33.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
34. 34.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
35. 35.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
36. 36.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
37. 37.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
38. 38.📦 Nisha collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Ishaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
40. 40.❌ Tara’s recycling sorter was tested on 48 new waste photos and got 45 right. How many did it get wrong?

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