AiNomy is a tool that helps doctors detect diseases and anomalies. It is available as a software-as-a-service (SaaS) platform and can be accessed by doctors anywhere, anytime. Doctors can also contribute data to help train AiNomy's artificial intelligence (AI) and improve its accuracy. The goal of AiNomy is to provide doctors with a reliable tool for detecting diseases and anomalies that they may not have been able to identify on their own.
You can try AiNomy right now! Visit http://ainomy.fr to access the platform and experience its disease detection capabilities.
To deploy AiNomy on your own system, follow the steps below:
Make sure you have the following prerequisites installed on your system:
- Docker: Install Docker
- Docker Compose: Install Docker Compose
Clone the AiNomy repository to your local machine:
git clone https://github.com/rmarquet21/ainomy.git
cd ainomy- Copy the
XXX.env.tplfiles for the necessary components toXXX.envfiles.
cp ai.env.tpl ai.env
cp auth.env.tpl auth.env
cp analyse.env.tpl analyse.env- Edit the
.envfiles and fill in the required configuration values, such as database connection details, API keys, and any other environment-specific settings.
Run Docker Compose to start the AiNomy services:
docker-compose up -dThis command will start all the containers defined in the docker-compose.yml file in detached mode (in the background). AiNomy should now be up and running.
You can access the AiNomy platform by opening a web browser and navigating to http://localhost (or the appropriate URL if you configured a different host). The application should be accessible to doctors for disease and anomaly detection.
If you would like to contribute to AiNomy's development, please follow our Contributing Guidelines.
AiNomy is open-source software licensed under the MIT License.