Brain-Tumor-Classification

Workflows

Update config.yaml 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/Sharathweb/Brain-Tumor-Classification

STEP 01- Create a conda environment after opening the repository

conda create -n cnncls python=3.10 -y

conda activate cnncls

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

1. dvc init
2. dvc repro
3. dvc dag

Model Details

Model Type: Convolutional Neural Network (CNN)

Classes:

• Glioma
• Meningioma
• Pituitary
• No Tumor

Framework: TensorFlow / Keras

Model Limitation

This model is trained on a limited MRI dataset and may occasionally misclassify similar tumor types such as glioma and meningioma.

The purpose of this project is to demonstrate an end-to-end machine learning pipeline including data preprocessing, model training, and deployment workflow rather than clinical diagnosis.

Application Screenshots

Home Page

Upload MRI Scan

Prediction Result

AWS-CICD-Deployment-with-Github-Actions

1. Login to AWS console.

2. Create IAM user for deployment

#with specific access

1. EC2 access : It is virtual machine

2. ECR: Elastic Container registry to save your docker image in aws


#Description: About the deployment

1. Build docker image of the source code

2. Push your docker image to ECR

3. Launch Your EC2 

4. Pull Your image from ECR in EC2

5. Lauch your docker image in EC2

#Policy:

1. AmazonEC2ContainerRegistryFullAccess

2. AmazonEC2FullAccess

3. Create ECR repo to store/save docker image

- Save the URI: 816361907526.dkr.ecr.us-east-1.amazonaws.com/braintumor

4. Create EC2 machine (Ubuntu)

5. Open EC2 and Install docker in EC2 Machine:

#optinal

sudo apt-get update -y

sudo apt-get upgrade

#required

curl -fsSL https://get.docker.com -o get-docker.sh

sudo sh get-docker.sh

sudo usermod -aG docker ubuntu

newgrp docker

6. Configure EC2 as self-hosted runner:

setting>actions>runner>new self hosted runner> choose os> then run command one by one

7. Setup github secrets:

AWS_ACCESS_KEY_ID=

AWS_SECRET_ACCESS_KEY=

AWS_REGION = us-east-1

AWS_ECR_LOGIN_URI = demo>>  566373416292.dkr.ecr.ap-south-1.amazonaws.com

ECR_REPOSITORY_NAME = simple-app