Project focuses on seamlessly integrating physical brewing devices with both Amazon's AWS IoT Hub and Microsoft's Azure IoT Hub, facilitating data communication and management across multiple cloud platforms. The integration enables efficient monitoring, control, and optimization of brewing processes, leveraging the capabilities of cloud technologies to enhance brewing operations and product quality.
MaunaK projects entails configuring and provisioning infrastructure resources using Terraform, an infrastructure as code tool, to automate the deployment and management of cloud-based infrastructure components such as servers, databases, and networking resources across various cloud providers like AWS, Azure.
Development and refinement of mathematical models for artificial intelligence, focusing on capabilities such as image recognition, statistical analysis, clustering, and machine learning, with an emphasis on training these models to accurately interpret and derive insights from complex datasets.
Comprehensive development of an application from its conceptualization to its final implementation, including the creation of a detailed High-Level Design (HLD) outlining the architecture, components, and functionalities of the application.
PPG:
– AI DSP real time pipelines.
– Cuffless Arterial Blood pressure prediction.
– Afib/common heart rhythm problems detection.
ECG:
– PQRST complex recognition in real time.
– Deep learning system for heart diseasses classification.
Electromyography (EMG) – Real time multi gestures pattern recognition system.
Ballistocardiogram (BCG). Patent application.
– Signal quality classifier.
– Deep learning model for Apnea detection.
Classification model for condition assessment for rotating equipments
– Common vibration / bearing faults;
– Cavitation/Turbulence classification for pumps;
– Lubrication problem classification.
Oil & Gas equipment online monitoring system:
– Anomaly detection model for complex assets.
Cement equipment.
– Timeseries ML system for malfunction prediction/prevention for rotating kiln.
Steel industry.
- Timeseries anomaly detection system for metal cast process
Navigation system (Patent protected):
– AI fusion of GPS and IMU sensors;
– Inertrial navigation system based.
Road quality estimation system (Patent protected):
– ML/DSP system for obtaining the International roughness index (IRI) by IMU sensors in accordance with ISO 8608. Colision detection(Patent protected).
– AI cars collision detection by IMU sensors.
Suspension condition monitoring.
- AI/DSP system for suspension mulfunction prediction.
Driver behaviour scoring system.
– ML system for classification of aggressive driving style.
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