Boomiwatch
AI-driven system that monitors space biology data.
Created on 22nd November 2025
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Boomiwatch
AI-driven system that monitors space biology data.
The problem Boomiwatch solves
BoomiWatch solves a major challenge in understanding NASA’s space biology data, which is vast, scattered, and extremely technical. Researchers, students, and innovators struggle to find experiment-specific insights or understand how space conditions affect life.
BoomiWatch provides:
AI-generated summaries of NASA bioscience publications
An interactive dashboard to explore microgravity, radiation, and environmental impacts
Knowledge graph-based linkages between experiments, organisms, and outcomes
Real-time visualizations of cosmic conditions and their biological effects
A simplified interface for students, educators, and scientists
By turning complex space biology datasets into intuitive visuals, the platform makes research faster, easier, and more accessible.
Challenges I ran into
Unstructured NASA Data
NASA bioscience datasets came in multiple formats (PDFs, XMLs, CSVs), making integration difficult.
We solved this by writing custom parsers and using AI models to clean and summarize text.
Building an Intelligent Knowledge Graph
Linking experiments, organisms, conditions, and outcomes required graph-based NLP pipelines.
We overcame it by using spaCy + custom FastAPI microservices to extract semantic connections.
Rendering Heavy Visualizations
Real-time charts and Leaflet maps initially slowed down the dashboard.
We optimized by using lazy-loading, caching, and microservices that serve lightweight JSON.
UI/UX for Complex Scientific Data
Space biology information is overwhelming for general users.
We redesigned the interface with simple color coding, icons, and guided tooltips.
Each challenge helped us improve scalability, performance, and accessibility.
Technologies used