NASA Space Apps 2023
BioTrack

Astronaut Health Monitoring System

Our project focuses on addressing the challenge of understanding how physical geography impacts species at risk across Canada. We developed an interactive map that integrates open-source datasets, including priority species ranges, protected areas, wildfire hotspots, vegetation zones and critical habitats. By layering this information spatially, we can visualize how factors like habitat fragmentation, human activity, and climate change threaten biodiversity. This project is important because it offers a powerful tool for conservationists, policymakers, and communities to identify critical habitats and prioritize areas for protection.

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Project Overview

Our project focuses on addressing the challenge of understanding how physical geography impacts species at risk across Canada. We developed an interactive map that integrates open-source datasets, including priority species ranges, protected areas, wildfire hotspots, vegetation zones and critical habitats. By layering this information spatially, we can visualize how factors like habitat fragmentation, human activity, and climate change threaten biodiversity. This project is important because it offers a powerful tool for conservationists, policymakers, and communities to identify critical habitats and prioritize areas for protection.

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Data Points Processed

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Prediction Accuracy

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Vital Signs Tracked

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Team Members

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Development Hours

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API Endpoints

Key Features

Interactive GIS Mapping

Multi-layer visualization of species ranges, protected areas, and environmental threats

Habitat Analysis

Identifies critical habitats and prioritizes areas for conservation efforts

Threat Visualization

Displays wildfire hotspots, habitat fragmentation, and climate change impacts

Conservation Planning

Tools for policymakers to identify and prioritize protection strategies

Project Gallery

Technical Stack

MACHINE LEARNING

• Python
• TensorFlow
• Keras
• NumPy

BACKEND

• Firebase
• Cloud Functions
• REST API

FRONTEND

• React
• Chart.js
• Tailwind CSS

DATA

• Pandas
• Real-time Streams

Hurdles & Resolutions

Challenges

Challenge

Real-time Processing

Processing real-time biometric data streams

Challenge

ML Model Training

Building accurate health prediction models

Challenge

Data Visualization

Creating intuitive visualization for complex data

Solutions

Solution

Real-time Processing

Implemented efficient data pipelines with Firebase real-time database

Solution

ML Model Training

Used TensorFlow with synthetic NASA health data for training

Solution

Data Visualization

Designed clean dashboard with Chart.js and real-time updates