Brain Tumor Classification MLOPs-Project

Overview

The Brain Tumor Classification Project is designed to leverage machine learning for the automated classification of brain tumors from MRI images, aiming to enhance diagnostic accuracy and efficiency. By integrating MLOps practices, I aimed to streamline the development, deployment, and maintenance of machine learning models in a production environment.

Features

Data preprocessing and augmentation.
Implementation of machine learning models for image classification.
Evaluation metrics for model performance.

Workflows

Update config.yaml
Update secrets.yaml [Optional]
Update params.yaml
Update the entity
Update the configuration manager in src config
Update the components
Update the pipeline
Update the main.py
Update the dvc.yaml

How to run?

STEPS:

Clone the repository

https://github.com/Emanalytics7/Brain-Tumor-Classification-Project.git

STEP 01

Create a conda environment after opening the repository

conda create -n environment-name python=3.11 -y

conda activate environment-name

STEP 02

install the requirements

pip install -r requirements.txt

# Finally run the following command
python app.py

Now,

open up you local host and port

DVC cmd

dvc init
dvc repro
dvc dag