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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
- 2.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
- 4.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
- 5.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
- 6.❌ Diya’s recycling sorter was tested on 40 new waste photos and got 35 right. How many did it get wrong?
- 7.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
- 8.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 49 right. How many did it get wrong?
- 9.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
- 10.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
- 11.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
- 12.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 13.❌ Nisha’s leaf identifier was tested on 49 new leaf photos and got 40 right. How many did it get wrong?
- 14.🎯 Ishaan’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 16.📦 Vihaan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 17.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
- 18.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
- 19.📦 Tara collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 20.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
- 21.❌ Nisha’s recycling sorter was tested on 30 new waste photos and got 23 right. How many did it get wrong?
- 22.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 23.❌ Rohan’s bird-song app was tested on 40 new bird songs and got 32 right. How many did it get wrong?
- 24.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 25.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
- 26.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
- 27.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 38 right and Model B got 33 right. How many percentage points more accurate is Model A?
- 28.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
- 29.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
- 30.❌ Saanvi’s spam spotter was tested on 20 new messages and got 18 right. How many did it get wrong?
- 31.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
- 32.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 33.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 41 right. What is its accuracy in percent?
- 34.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 35.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
- 36.📋 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
- 37.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
- 38.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
- 39.📦 Meera collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 40.❌ Diya’s spam spotter was tested on 47 new messages and got 41 right. How many did it get wrong?
Answer key
- more labelled examples
- 21
- to see if it learned
- 20
- split train and test
- 5
- correct ÷ total × 100
- 1
- paper and examples
- 56
- 56
- correct bad labels
- 9
- 75
- calculate percent right
- 104
- 100
- 100
- 152
- tag each photo by type
- 7
- 24
- 8
- correct bad labels
- tag each photo by type
- pick a question to solve
- 10
- 24
- split train and test
- 2
- split train and test
- 14
- 82
- 10
- 55
- split train and test
- train the model
- 100
- 136
- 6
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students