About this Project

Imagine a situation where an Insurance Company is receiving tons of request from its cutomer for their claims. In such situation they dont have much time to go through each and every application for checking if its a false claim or not.

Main focus is to reduce the workload by 20-30% and focus on customers or other queries.

Using power of Machine Learning algorithms following project titled Insurance Fraud-Detection-using-Machine-Learning was able to be sucessfull.

Technology Used

Python ,Flask,scikit-learn,Gunicorn,Sqlite,

How to Get Started

Clone the Project

You can also use this project in your system by following thses simple steps -:

  https://github.com/Jaid844/InsuranceFraudDetector.git

Install the requirements -

pip install -r requirements.txt

Run the main.py file

python main.py

You are done Good to go

For Docker use

Pull the docker container in below link from the repositry

  docker pull zaid683/welcome:latest

Authors

• Muhammad Jaid

Deployment

The app is hosted in Render server