Digital Twin

Overview

An innovative healthcare software that can predict the future state of the user based on the current state of the user. This is achieved by using the power of predictive analysis and RAG.

Our software uses the data from the user wearrable devices and reports submitted to guess what actually the user is like and then create a digital copy of him in the backend. Now, whenever there's an anomylous change in the user data our software can warn the user of it and suggest what problem he/she might have. Also whenever user wants to change any part of his/her lifestyle he/she can tell our software and then our model would simulate those changes on that virtual copy and then would tell what changes that might cause to his/her body.

Technologies we'll be using:

• Neo4j for graph DB, Cypher for quering

• Gemini or llama as the llm for refering the RAG created then give the personlised suggestions

• langchain and langgraph for the chunking and node creations

• python for backend

• NextJS for the website, might be using flutter if we decided to port it to be cross platform app

• Google Cloud for hosting

• three js, chart js and shadcn for Ui and visualisation