How can we utilize wearable devices and sensors to monitor health indicators like heart rate, blood pressure, and glucose levels, and notify users or caregivers of any abnormalities or emergencies?

• Problem Statement
• Content
• Team
• Features
• Tech Stack
• API Reference
• Environment Variables
• Run Locally
• Documentation
• Screen-Shots

• Atharva Parkhe - Python - LinkedIn, GitHub, Instagram - Backend Developer

• Madem Greeshma - JavaScript - LinkedIn, GitHub, Instagram - Frontend Developer

• Pratham Shankhwalker - Python - LinkedIn, GitHub, Instagram - Machine Learning (ML) Developer

• BACKEND : Django

• DATABASE : MySQL

• FRONTEND : React JS

• Machine Learning : Pandas, Numpy, Tensorflow, Keras, Scikit-Learn

• Endpoints Import Link (POSTMAN) : https://api.postman.com/collections/21176723-76879caa-3831-4283-83b2-660ba8ae0aef?access_key=PMAT-01GRXDT6WTN828QXB6MHR7GRV8

• Endpoints Import JSON file : here

To run this project, you will need to add the following environment variables to your .env file

• SECRET_KEY - Secret Key for Backend

• JWT_KEY - JWT Authentication Key

• EMAIL_HOST_USER - Email ID

• EMAIL_HOST_PASSWORD - Email Password

• SOCIAL_SECRET - Default Password for Social Auth

• GOOGLE_CLIENT_ID - Google Client ID

• GOOGLE_CLIENT_SECRET - Google Client Secret

• TWILIO_ACCOUNT_SID - Twilio Account SID

• TWILIO_AUTH_TOKEN - Twilio Auth Token

Step#1 : Clone Project Repository

git clone https://github.com/Intensa-Council-GEC/Team-Delta.git

Step#2 : Go to Project Directory

cd Team-Delta

Step#3 : Run Backend Server

cd backend

• If virtualenv is not istalled :

pip install virtualenv && virtualenv env

• Turn On Virtual Environment

• In Windows :

    env/Scripts/activate

• In Linux or MacOS :

    source env/bin/activate

• Install Dependencies

pip install --upgrade pip -r requirements.txt

• Runserver

python manage.py runserver

Step#4 : Run Frontend Server

cd frontend

• Install Dependencies

npm install

• Runserver

npm run dev

Check the terminal if any error.

Step#6 : Open Browser

• Open http://127.0.0.1:5173/ or http://localhost:5173/ on your browser.

DOC