MeFit - IoT Based Health Monitoring & AI based Disease Detection System

App Preview

Doctor Admin Portal Preview

🟢 Project has been live

Steps to access Doctor Admin Portal

• Link : https://mefitdoctor.netlify.app/

• Testing Credentials :

  • E-mail : doctor@test.com
  • Password : 888530

Steps to access MeFit Android App

• Click here to download android app
• Testing Credentials
  • E-mail : patient@test.com
  • Password : 613783

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🟡 Tech Stack

Type	Tech Stack	Link
Backend	NodeJS	Click here
Message Queue	RabbitMQ	-
Android App for User	Flutter	Click here
Doctor Admin Panel	ReactJS	Click here
ML Models	Python (Sckit-learn)	Click here
Hardware	C++	Click here
Health Simulator	QT C++	Click here

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🔵 High Level System Design

During design of this project, microservice architecture has been followed to lower the latency and optimize realtime monitoring by converting ai models , notification and SOS service to microservices

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Guide to run in local system

Steps to run backend

• Clone the backend folder
• Clone .env-example file and rename it to .env
• Fill the values .env with appropiate values
• If you are adding new database, run npm run dbMigrate and npm run dbDeploy
• Start core backend service by running npm run start
• Start consumer process by running node start_consumer.js
• Start job scheduler by running start_jobs.js

Steps to run Doctor Admin Panel

• Clone the doctor_admin_panel folder
• Update BASEURL with your deployed link of backend in project
• Run npm start or build by npm run build

Steps to build Android App

• Clone the mefit_android_app App folder
• Go to lib/config/config.dart file and update baseDomain with deployed url of backend
• To enable notification support, register the app in firebase. Follow this guide firebase.google.com/docs/flutter/setup?platform=android
• To build apk file , run flutter build apk --release

Steps to run ML Models as a microservice

• Clone the ml_models folder
• For each subfolder there will be an predict.py file [also there can be an train.py file] .
• In main section of each file , update the rabbitmq username, rabbitmq password, rabbitmq url, rabbitmq vhost and backend url
• To start the microservice run python predict.py or python train.py

Steps to run Health Simulator

• Clone the health_simulator folder
• To compile or run , QT vesion>=6.0.0 need to be installed in local system
• You can open the project with QT editor and run/build directly from IDE

Steps to install code in Nodemcu [Hardware]

• Clone the hardware_codebase folder
• Open code.ino folder in Arduino IDE
• Update WIFI_SSID and WIFI_PASSWORD
• Update hardware_id with random number
• Connect Nodemcu v1.0 to Arduino IDE
• Clik on Upload

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For detailed information and product demo, watch this video

Click here to open video in youtube

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🟠 Author of this repo

Presnted by Team KrazyDevs in Optum Stratathon Season 4

Team Members

• Amartya Chakraborty
• Tanmoy Sarkar
• Snehanjan Roy