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NASA Data Analytics (Nebula Insights)

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  • 2 Total hours

An Opensource Data Analytics breakdown of NASA's data through API key

Ship #2

Ship #1: This project is a NASA data portal that fetches live-data from NASA’s Open Source API. While many projects do this as well in just grabbing data points, this project is a step-up from that- using the data points, I used smart regression analysis to predict future coordinate points. This project makes use of NASA API and Gemini API for analysis. Hope you enjoy this fun NASA Data Workspace project!

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18m logged

DevLog 2: Project Standalone Optimization & APOD Ingestion Fix

Data Architecture: The Overview page chart safely handles dynamic switching across all four target NASA endpoints seamlessly.

UI has been updated to match Design.MD standards and removed unnecessary features in cluttering.

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Ship #1 Changes requested

NASA Mission Analytics Workspace
🛰️ Project Overview
The NASA Mission Analytics Workspace is a high-fidelity, real-time telemetry dashboard designed to centralize and visualize critical multi-stream data from diverse NASA API endpoints. The application provides researchers and space enthusiasts with an integrated mission control interface to monitor planetary conditions, track near-Earth objects, and audit severe space weather events in real time.

By mapping data across complex, independent astronomical data systems into a unified analytics canvas, the workspace serves as a centralized hub for tracking cosmic anomalies and structural trends.

🚀 Core Features
Multi-Stream Data Ingestion: Dynamic, context-aware swapping across four distinct NASA APIs: Near-Earth Object (NEO) tracking, Mars InSight atmospheric data, Astronomy Picture of the Day (APOD) metadata, and Space Weather Database of Notifications, Knowledge, and Information (DONKI).

Predictive Failover Subsystems: Built-in telemetry simulation fallbacks for historical or offline data arrays (such as the concluded Mars InSight mission parameters) to ensure continuous chart rendering and unbroken timeline data.

Automated Anomaly Audit: An integrated parsing matrix that scans inbound datasets to flag, count, and isolate critical risks—such as potentially hazardous asteroids or severe M/X-class solar flare events.

Fluid Layout Architecture: A fully responsive interface utilizing shadcn/ui navigation structures and dynamic grid column allocation, allowing full operational tracking across standard desktop workstation arrays down to mobile touch viewports.

🛠️ Technical Stack & Architecture
Frontend Framework: React with TypeScript for Type-safe architecture and structured telemetry models.

Styling & Responsive Core: Tailwind CSS utilizing fluid padding profiles, aspect-ratio bounds, and flexbox wrap-fallbacks.

Component Library: shadcn/ui (leveraging , state hooks, and native transition wrappers).

Icons: Lucide React vector assets.

System Status: Production build complete. Remote synchronization verified. All telemetry channels online.

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1h 9m 35s logged

Devlog 1: NASA Mission Analytics Workspace

The Goal: I wanted to build a unified mission control dashboard that pulls live space data from 4 completely different NASA APIs—tracking hazardous near-Earth asteroids, Mars weather, solar flares, and deep space imagery.

Where it stands: Everything is pushed live to GitHub! Telemetry is online, the charts look stunning, and it functions great! Whether you’re inspecting space anomalies on a desktop monitor or on a phone screen, it functions just like how it should!

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