Business Case
Real-time Satellite Data Capture & Analysis Platform: "COSMOS"

Overview

The "COSMOS" platform was designed to provide real-time satellite data capture, processing, and analysis services. Key functionalities include:
• **Data Ingestion:** Real-time data acquisition from satellite feeds and ground stations.
• **Processing Pipeline:** A robust microservices architecture for data cleaning, transformation, and storage.
• **Visualization:** An interactive dashboard for monitoring and analyzing satellite data in real-time.
The platform aims to empower industries like space exploration, weather forecasting, telecommunications, and defense by delivering critical insights and data accessibility.

Software Design

The architecture of "COSMOS" was designed to ensure scalability, reliability, and extensibility. Key design features include:
• A **microservices-based backend** to manage independent functionalities like data ingestion, storage, and analysis.
• Integration with cloud platforms for on-demand scalability.
• Real-time data visualization through a web-based client UI.
• Use of modern data storage solutions for handling large volumes of satellite data.
• A custom API for third-party integration to enable advanced analytics and external system connectivity.

Our Solution

Microservices Architecture

COSMOS employs a modular microservices-based architecture that ensures scalability, fault tolerance, and ease of maintenance. Each service is optimized for specific tasks such as data ingestion, processing, or analysis.

Real-Time Data Processing

The platform supports real-time ingestion and processing of satellite telemetry and imagery, providing actionable insights with minimal delay. MongoDB is used for efficient data storage and retrieval.

Advanced Analytics

COSMOS offers powerful analytical tools for temporal and geospatial data, enabling users to perform trend analysis, anomaly detection, and predictive modeling on satellite datasets.

Results & Impact

COSMOS has significantly enhanced the efficiency of satellite data management and analysis. Key achievements include:

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Future Expansion

Enhanced Machine Learning Models

Leveraging machine learning to predict satellite trajectories, weather patterns, and communication link performance.

Cloud-Based Data Marketplace

Creating a marketplace for satellite data, enabling businesses and researchers to access high-quality datasets on demand.

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