Digital Twin Solution

Student Name

Rameez HasanFollow

Degree

Master of Science in Computer Science

Department

Department of Computer Science

School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Spring 2023

Supervisor

Saiyed Shahab Ahmed, Visiting Faculty, Department of Computer Science, School of Mathematics and Computer Science (SMCS)

Keywords

Digital Twin, Cloud Computing, CICD, Cloud Security, EC2, MongoDb

Abstract

In current century digitization and digitalization is booming so it is very important to keep innovating and improving the process using automations. This paper proposed a possible next-generation real estate platform powered by Digital Twin technology. The advent of digital twin technology with ML & Deep learning algos has revolutionized the way we interact with data and physical objects. Cloud computing and cloud security becomes essential to automate the processes and to keep intact availability and integrity of any digital system. The app provides the real-time data and analytics of Real Estate properties, users can access wide range of functionalities including real time monitoring of property, predictive analytics, and resemblance on base of liking and disliking.

The platform will allow investors or buyers to get proper details with high-definition images of property and to have informed decisions about actual prices of that property. The document describes the analysis, design, and development of the platform.

Document Type

Restricted Access

Submission Type

Research Project

Recommended Citation

Hasan, Rameez. "Digital Twin Solution." Unpublished graduate research project. Institute of Business Administration. 2023. https://ir.iba.edu.pk/research-projects-mscs/26