inspiration: i wanted to make a project that is useful for others. This zoo animal classification will be helpful for scientists to differentiate newly discovered animals . they can decide the family, domain and heirarchy of particular animal.
What it does: This zoo animal classifier will differentiate among animals with up to 90% accuracy . this helps scientists to differentiate newly discovered animals . they can decide the family, domain and heirarchy of particular animal.
How we built it: I built it using a dataset which I took from kaggle. Then using google colab notebooks I implemented the coding part. I used python to implement code. Then I split the dataset into train and test data. I also normalized the data and finally implemented all the classification methods to get good accuracy.
Challenges we ran into: As the dataset that I have chosen was having less number of rows ,there came a need for me to apply smote.
Accomplishments that we're proud of: I designed an interface for user to use using code in the program.
What we learned: I learned all the classification methods
What's next for zoo animal classification: I would like to implement image processing system
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