Thyroid-detection

Current project status:

! In Progress

Problem Statement

The goal of this project is to build a classification model that accurately predicts the type of thyroid based on a given set of features from thyroid patients. The provided training data includes information about various patient characteristics. The model needs to classify each patient into one of the thyroid types, enabling accurate diagnosis and appropriate treatment planning.

Solution Proposed

How to run?

Step 1: Clone the repository

git clone https://github.com/sverma1999/thyroid-detection.git

Step 2- Create a conda environment after opening the repository

conda create -p thyroidDetectionVenv python==3.8 -y

conda activate thyroidDetectionVenv

Step 3 - Install the requirements

pip install -r requirements.txt

Step 4 - Export the environment variable

export AWS_ACCESS_KEY_ID=<AWS_ACCESS_KEY_ID>

export AWS_SECRET_ACCESS_KEY=<AWS_SECRET_ACCESS_KEY>

export AWS_DEFAULT_REGION=<AWS_DEFAULT_REGION>

export MONGO_DB_URL="mongodb+srv://<username>:<password>@cluster0.nbka4hq.mongodb.net/test"

Step 5 - Run the application server

python app.py

Step 6. Train application

http://localhost:8080/train

Step 7. Prediction application

http://localhost:8080/predict