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Aarogyam

Our project aims to address the healthcare challenges in rural India by introducing an AI Assisted Tele-medicine Kiosk. This Kiosk is designed to be user-friendly, multilingual, and equipped with advanced technologies to provide efficient healthcare services in remote areas.

Install / Use

/learn @Sudhaanshuu/Aarogyam
About this skill

Quality Score

0/100

Category

Design

Supported Platforms

Universal

README

AI-Assisted Tele-medicine Kiosk for Rural India

link - https://arogyam-kiosk.netlify.app/

Introduction

The AI-Assisted Tele-medicine Kiosk for Rural India is a innovative solution designed to provide accessible healthcare services to remote areas. This project aims to bridge the gap between doctors and rural people, improve healthcare and awareness in villages, and create job opportunities for locals as operators, technicians, and community health workers.

How to use this Repo

  • Open the Model File then in the terminal Run Command streamlit run su.py
  • Now open index.html with live server

Dependencies

  • Kiosk hardware with a computer
  • Reliable internet access
  • Integration with the e-sanjeevani App
  • Telemedicine platforms for remote consultations

Setup and Usage

  1. Install the kiosk hardware and ensure it is connected to the internet.
  2. Configure the kiosk software, including the e-sanjeevani App and telemedicine platforms.
  3. Add necessary medical equipment, such as IoT sensors for vital signs measurement.
  4. Load the initial medical records and settings into the kiosk.
  5. Make the kiosk accessible to users and monitor its usage.

Run these command

  1. pip install numpy==1.23.5
  2. pip install pandas==1.5.1
  3. pip install scikit-learn==1.3.2
  4. pip install streamlit==1.16.0
  5. pip install streamlit_option_menu==0.3.2

Known Limitations

  • Limited availability of reliable internet connectivity in remote areas.
  • Potential challenges in integrating with existing healthcare systems and platforms.

Team Members

Team Leader: Sudhanshu Kumar

Branch: Btech Stream: Computer Science and Engineering Year: IIIth

Team Member 1: Ankur Kumari

Branch: Btech Stream: Computer Science and Engineering Year: IIIth

Team Member 3: Aman Ujwal Toppo

Branch: Btech Stream: Computer Science and Engineering Year: IIIth

License and Copyright

Please refer to the provided license and copyright notice for further information.

View on GitHub
GitHub Stars11
CategoryDesign
Updated1y ago
Forks2

Languages

JavaScript

Security Score

60/100

Audited on Jan 10, 2025

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