Skip to content

Classification of Palmer Penguin species using a Quantum Support Vector Machine with FastAPI as a backend deployed on Streamlit

Notifications You must be signed in to change notification settings

bopardikarsoham/Penguin_Species_Quantum_Classifer_App

Repository files navigation

Classification of Penguins using a Quantum Support Vector Machine

Streamlit App ⬅️ It also works on mobile devices

In this project I have created a Quantum Machine Learning Model that can classify the species of Palmer Penguins on the basis of their features present in this dataset.

Here are the Palmer Penguins!

Penguin_Species

How to run the project locally 🚀

After cloning the repository to your local system, create a virtual environment, and activate it.

pip install virtualenv 
virtualenv env

On Windows, powershell

.\env\Scripts\activate.ps1

On Mac/Linux

source ./env/bin/activate

Then install the required packages using the specified requirements.txt file

pip install -r requirements.txt

To launch the server and run the project,

streamlit run streamlit_app.py

For running the backend with FastAPI

uvicorn fast_api:app --reload

Demo Input from penguins.csv💻

Prediction 🔥

About

Classification of Palmer Penguin species using a Quantum Support Vector Machine with FastAPI as a backend deployed on Streamlit

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published