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GOURGOPAL618/README.md

Typing SVG


Status Season Domain


Typing SVG






GOURGOPAL618


GitHub  LinkedIn  Kaggle  Roboflow


Followers Stars Views

📋 OPERATOR DOSSIER — CLASSIFIED

╔══════════════════════════════════════════════════╗
  CALLSIGN     :  GOURAGOPAL MOHAPATRA
  ALIAS        :  GOURGOPAL618
  DESIGNATION  :  Space-AI & Remote Sensing Engineer
  CLEARANCE    :  LEVEL Ω — ORBITAL INTELLIGENCE
  COORDINATES  :  Odisha, India [20.94°N, 84.80°E]
  ──────────────────────────────────────────────────
  ACTIVE DOMAINS:
    ∷ Earth Observation & Deep Learning
    ∷ SAR + Multispectral Satellite Analysis
    ∷ Space Medicine AI & Human Physiology
    ∷ Agro-Spatial Intelligence Systems
  ──────────────────────────────────────────────────
  MISSION STACK:
    ◈ RS-SDA-02     →  Crop Health & Anomaly Engine
    ◈ THE MRIDANSH  →  State-Scale Agro Platform
    ◈ ASTROVITAL AI →  Space Medicine Intelligence
  ──────────────────────────────────────────────────
  LAUNCH WINDOW:  Coming Soon....🔜
  STATUS       :  ✅ ALL SYSTEMS NOMINAL
╚══════════════════════════════════════════════════╝

I bridge deep learning frameworks with satellite physics. Conventional CS sees text & tables — I see the Earth in multi-spectral · multi-temporal · active radar (SAR) layers.


🛡️ MISSION SYSTEMS — TECH ARSENAL


— SATELLITE INTELLIGENCE LAYER —

Sentinel-1 Sentinel-2 SRTM Landsat


— GEOSPATIAL COMPUTE LAYER —

GEE QGIS Rasterio GDAL


— DEEP LEARNING CORE —

PyTorch Python NumPy Scikit


— HARDWARE OPTIMIZATION —

memmap GPU RAM



🚀 HIGH-IMPACT MISSION PORTFOLIO

Each project is not a repo — it is a deployed intelligence system.


  🗺️  MISSION — 01  ·  LULC CLASSIFICATION, ODISHA

Cloud-Native Land Use Land Cover Intelligence

  OBJECTIVE  ▸  High-accuracy feature boundary mapping over Odishan topography
  TECHNIQUE  ▸  Manual pixel ground-truthing for geometric stability
  CORE ASSET ▸  200+ high-precision geographic training polygons @ 50–100m resolution
  OUTCOME    ▸  Bypassed traditional algorithmic failures via spatial engineering

  🌾  MISSION — 02  ·  CROP HEALTH & ANOMALY DETECTION RS-SDA-02

Stacked LSTM · Sentinel-2 NDVI Time-Series · Agro-Intelligence

  OBJECTIVE  ▸  End-to-end multi-spectral time-series anomaly detection engine
  TECHNIQUE  ▸  Stacked LSTM on NDVI dynamic variation sequences
  CORE ASSET ▸  Computational baseline powering THE MRIDANSH state-scale platform
  OUTCOME    ▸  Live anomaly detection across Odisha's agricultural zones

  🌪️  MISSION — 03  ·  SAR DISASTER RESPONSE — CYCLONE FANI

PyTorch U-Net · Balasore-to-Puri Coastal Corridor

  OBJECTIVE  ▸  Flood inundation mapping of historic Cyclone Fani devastation
  TECHNIQUE  ▸  Stacked SAR channels — Pre-VV + Co-VV + Log-Ratio
  CORE ASSET ▸  1,029.43 km² absolute inundation volume identified
  OUTCOME    ▸  Dice Score 85.8%–86.5% · Outpaced Otsu baseline

  ⚕️  MISSION — 04  ·  ASTROVITAL AI — VITALX CORE V1

Human Physiology in Space · AI-Powered Space Medicine Engine

  OBJECTIVE  ▸  AI monitoring of human bodies in deep space environments
  VERSIONS   ▸  VITALX CORE V1  →  AEREXIS OMEGA V1.5  →  OMNISENTINEL V2
  DOMAIN     ▸  Space Medicine · Biomedical Signal Processing · Orbital Health

    ASTROVITAL AI


📅 2026 MISSION LAUNCH GRID


Symbol DATE COSMIC EVENT MISSION STATUS
🔱 July 16, 2026 Ratha Yatra Official Launch — THE MRIDANSH
Open Agro-Spatial Intelligence Platform		 🟢 Launched
🌾 2026 Coming... Remote Sensing Space-AI Paper
Launch & Publication Draft Release		 🟡 T‑MINUS
⚕️ 2027 · Q3 — AEREXIS OMEGA V1.5 Release
Next-Gen Space Medicine AI		 🔵 IN BUILD
🛰️ 2027 · Q4 — OMNISENTINEL V2 Full Deploy
Multi-Domain Orbital Intelligence		 🔵 IN BUILD


📊 MISSION TELEMETRY — GITHUB STATS


  







🌌 OPERATOR LOGS — PERSONAL CORE DUMP

"Every pixel in a satellite image is a data point waiting to speak."









🧬 ASTROVITAL AI — SPACE MEDICINE ROADMAP





ASTROVITAL AI is the long-term Space Medicine AI arm of the operator's work — exploring how human physiology holds up beyond Earth, where biology meets the cosmos. VITALX CORE V1 is live; the next two versions are slated for 2027.



📬 GROUND CONTROL — ESTABLISH UPLINK


LinkedIn  GitHub  Kaggle


Roboflow  Email  Phone



Python PyTorch GEE


SAR LSTM UNet


QGIS SpaceMed






Pinned Loading

  1. ASTROVITAL_AI_VITALX_CORE_V1 ASTROVITAL_AI_VITALX_CORE_V1 Public

    An EDGE CDSS (Clinical Decision Support System) for Health Of Astronauts in Deep Space 👩‍🚀👩‍🚀🚀🚀

    Jupyter Notebook 2

  2. THE_MRIDANSH THE_MRIDANSH Public

    THE MRIDANSH is a physics-guided AI system that estimates the current best scientific state of soil from multi-modal Earth observation data, providing a unified foundation for agriculture and civil…

    Python 2

  3. MISSION_RS_SDA MISSION_RS_SDA Public

    Build production-grade skills for Satellite Data Analysis 🛰️🛰️📡

    Jupyter Notebook 2

  4. SAR_DISASTER_MAPPING_ODISHA SAR_DISASTER_MAPPING_ODISHA Public

    A Deep Learning-based Satellite Remote Sensing pipeline utilizing Sentinel-1 SAR imagery and U-Net architecture to map and segment flash floods across the high-impact Cyclone Zones of coastal Odish…

    Jupyter Notebook 1

  5. Crop_Health_Monitor_Odisha Crop_Health_Monitor_Odisha Public

    Satellite-driven time series anomaly detection pipeline using Google Earth Engine and Python to monitor Kharif Paddy phenology and flag early-stage crop stress in Odisha.

    Jupyter Notebook 1

  6. EARTHLENS_AI EARTHLENS_AI Public

    Remote sensing and geospatial AI platform for land cover analysis and environmental monitoring

    Jupyter Notebook 2