Cosmoo: High-Volume Data Processing & Custom AI Architecture
An internal AceBuddy R&D platform engineered to process massive datasets from NASA spacecraft into a seamless, high-performance web interface.
Project type
Big Data & AI Web Application
Custom Engineering
Custom AI Neural Network
Core Capability
Real-time binary processing & memory optimization
Software Architecture
Custom Monolithic Web Application
Challenge
Analyzing astronomical data requires processing massive datasets in real-time. The goal for Cosmoo was to connect directly to NASA’s servers, extract raw binary data from the TESS and Kepler spacecraft, and translate it into an interactive web format. Because this data is incredibly heavy, we had to build a system that could handle intense mathematical computations without overloading server memory or crashing the user's browser.
Areas of Expertise
Solution
We built a monolithic web application using a ReactJS interface and a Python Django backend. This setup allowed us to closely manage the data pipeline and optimize server resources. To handle the complex mathematical computations and reliably pull information from NASA's APIs, we integrated a PostgreSQL database alongside the Django framework. Instead of relying on off-the-shelf tools, we built a neural network from scratch to analyze the incoming observations, calculate energy levels, and accurately distinguish exoplanets from cosmic dust.
To ensure a seamless user experience, the system takes the raw binary data and instantly converts it into image and video formats that render smoothly on the web. Finally, we wrote specific protocols to manage server memory usage, ensuring the application remains stable and highly responsive even when processing these massive data pulls.
