Realtime HealthCare Analytics is a cutting-edge project that leverages real-time data streaming and analytics to provide valuable insights into healthcare data. This project aims to revolutionize the healthcare industry by enabling healthcare professionals to monitor patient data, detect anomalies, and make informed decisions in real-time.
- Real-time data streaming using aiokafka and asyncio.
- Interactive and intuitive dashboard for monitoring patient data.
- Advanced analytics and visualization of vital signs such as heart rate, body temperature, blood sugar, and blood pressure.
- Alert system for immediate notifications on critical patient conditions.
- Seamless integration with Cassandra database for data storage and retrieval.
Dashboard showcasing real-time patient data and analytics.
Sensor reading map for visualizing patient locations.
Graph displaying real-time blood pressure readings.
Follow these steps to set up and run the Realtime HealthCare Analytics project:
- Clone the repository:
git clone https://github.com/vikasharma005/Realtime_HealthCare_Analytics.git - Install Docker and Docker-compose.
- Install the required dependencies:
pip install -r requirements.txt - Run the deployment script:
./deploy.sh
For detailed installation instructions and troubleshooting, please refer to the Installation Guide.
You can find more about me and my projects on my GitHub profile.
We welcome contributions from the community to enhance the Realtime HealthCare Analytics project. If you would like to contribute, please follow the guidelines outlined in the Contribution Guide.
If you encounter any issues or have any questions, please feel free to open an issue on the Issue Tracker. Our team will be happy to assist you.
This project is licensed under the MIT License.