Filoger-MLOps-projec

Breast Cancer Prediction Smart Web Service

Overview

The Breast Cancer Prediction Web Service is a Flask-based application designed to assist in the early detection of breast cancer using a machine learning model. This application aims to provide accurate predictions based on user-input data, facilitating timely medical interventions.

Project Structure

.
├── README.md
├── app
│   ├── models
│   │   ├── breast_cancer.py
│   │   └── model.pkl
│   ├── routes.py
│   ├── static
│   │   ├── assets
│   └── templates
│   ├── __init__.py
│   ├── db_models.py
│   ├── ml_models.py
├── app.py
├── config.py
├── instance
│   └── users.db
├── members.txt
├── requirements.txt
├── run.sh
└── setup.sh

Installation and Run

1. Clone the Repository:

   git clone https://github.com/msinamsina/filoger-project.git

2. Setup: Execute the provided bash script (setup.sh) to set up your environment

   chmod +x setup.sh
   ./setup.sh 

3. Run the app: Once the setup is complete, you can run the application

   python3 app.py

The application will be available at local your host: http://127.0.0.1:5000/ .

App snapshots