bhagat-singh-kankarwal / ciphercare-insurance

Leveraging Fully Homomorphic Encryption for Enhanced Privacy in Insurance Sector

Leveraging Fully Homomorphic Encryption for Enhanced Privacy in Insurance Sector

The insurance industry stands at a crossroads, balancing the need for data-driven insights with the critical responsibility of protecting sensitive user information. Traditional approaches to data security often fall short, requiring decryption for processing and analysis, thus exposing vulnerabilities, and compromising privacy. My project introduces a paradigm shift by harnessing the power of Fully Homomorphic Encryption (FHE) to create a secure and privacy-preserving insurance claim processing system. By enabling computations directly on encrypted data, FHE eliminates the need for decryption, ensuring user data remains confidential throughout the entire process. It delves into the design and implementation of such a system, exploring its potential to revolutionize data privacy within the insurance sector while paving the way for a more efficient and trustworthy ecosystem.

Tech Stack

Client: HTML, CSS, Bootstrap

Server: Django

Run Locally

Clone the project

  git clone https://github.com/Bhagat-Singh-Kankarwal/CipherCare-Insurance.git

In the root directory

  python -m venv virt
  virt\Scripts\activate
  pip install -r requirements.txt

Go to the project directory

  cd fheproject

Start the server

  python manage.py runserver

Load the server

  http://127.0.0.1:8000/