Build Your Own AI Project Worksheet
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.
NameDateTime takenScore ___ / 40
- 1.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
- 2.📦 Ananya collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
- 4.🧪 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
- 5.📋 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
- 6.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
- 7.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
- 8.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
- 9.❌ Nisha’s recycling sorter was tested on 16 new waste photos and got 14 right. How many did it get wrong?
- 10.📦 Saanvi collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 11.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
- 12.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
- 13.📦 Saanvi collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 14.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 15.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
- 16.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
- 17.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 18.❌ Ananya’s bird-song app was tested on 16 new bird songs and got 10 right. How many did it get wrong?
- 19.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 20.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
- 21.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
- 22.❌ Meera’s bird-song app was tested on 22 new bird songs and got 17 right. How many did it get wrong?
- 23.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 24.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 47 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 25.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 26.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 27.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 28.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
- 29.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
- 30.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
- 31.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 32.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 33.❌ Ananya’s handwriting reader was tested on 28 new handwritten letters and got 23 right. How many did it get wrong?
- 34.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
- 35.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 36.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 37.🎯 Tara’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
- 38.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 39.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 40.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
Answer key
- set aside test photos
- 120
- more labelled examples
- to see if it learned
- pick a question to solve
- correct ÷ total × 100
- tag each photo by type
- let it learn patterns
- 2
- 72
- let it learn patterns
- 75
- 160
- 30
- label each example
- 35
- test on new photos
- 6
- try unseen examples
- 60
- split train and test
- 5
- 32
- 20
- gather many examples
- calculate percent right
- try unseen examples
- 28
- label each example
- paper and examples
- calculate percent right
- 63
- 5
- 56
- 40
- 60
- 100
- try unseen examples
- work out the accuracy
- label each example
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students