AI App with Multi-agent workflow with LangGraph, Langchain and Llama3 for Real World Healthcare case

In this project, an AI Application for a Real World Healthcare case with Multi-agent workflows has been built in Python with LangGraph, Langchain and Llama3 model. In the App, user only needs to upload the Patient's Electronic Health Record (EHR) in pdf format which contains the medical/health history of the patient for many years. Then they just need to click on "Summarize Patient EHR" button. It will display the LangGraph multi-agent workflows graphically with all the nodes and edges and then it will execute it and show the output messages from all the nodes (agents) apart from the final summary of the patient's EHR. It will also write and save a copy of the summary in pdf format in the working directory. GitHub link for this project is here: https://github.com/dharsandip/patient_ehr_summarization_multi_agents_langgraph LinkedIn: https://www.linkedin.com/in/sandip-dhar-40145546/ #langchain, #aiagents, #langgraphagents, #aihealthcareapp, #langchainandlanggraph, #patientehrsummarization, #multiagentswithlanggraph, #langgraph, #llama3llm, #python, #streamlitlibrary