Type	Description	Languages	Products
Web-app	Platform offering ML-based Heart diagnostics and Analytics tools	Python JS/HTML/CSS	Flask PostgreSQL|SQLAlchemy Azure VM azure-app-service

HDAD : Heart Diagnostics and Analytics Dashboard

HDAD aims to bring a multitude of state-of-the-art and latest Machine Learning research in Healthcare to every clinician, anywhere and anytime. Make accurate predictions and diagnosis of patients. Take data-driven prognostic decisions based on results from Models and professional expertise.

Contributors

• Achal Dxit
• Ashish Mishra

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Installation

Dillinger requires python 3.7+ to run.

Clone the repository and extract all the files in a folder . Open the folder in terminal or cmd

Create a Virtual environment:

python -m venv venv

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Documentations

All the Documents are available in the repository ./Documents. List of available documentations are :

• User Manual
• Code Documentation
• Data Flow Diagrams
• 
• 
• Software Requirement Specifications (SRS)
• Basic Testing Report

Activate virtual environment

Scripts/activate

Install dependencies

pip install -r requirements.txt

Edit the environment variables in init.py run flask app

python app.py

Supported on

• Mozilla, Chrome and Safari
• Windows, iOS and Android