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/
orhttp://localhost:5173/
on your browser.