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Achievement: StarstruckAchievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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sanatladkat/README.md

Hi there, I'm Sanat Ladkat 👋

Spatial AI Researcher | Data Scientist | Architect

Bridging the gap between physical spatial geometry and advanced artificial intelligence. Currently pursuing a PhD in GeoAI, architecting production-grade spatial pipelines, deep learning models, and 3D synthetic environments.

LinkedIn Medium Kaggle

🚀 About Me

I don't just analyze data; I architect the systems that scale it. My unconventional background spans Architecture (B.Arch), Design (M.Des), and AI (M.Tech, PhD in CSE - GeoAI), giving me a unique ability to understand both physical space and the computational models that represent it.

My work sits at the intersection of:

  • Spatial intelligence
  • Deep learning
  • 3D simulation

💻 Tech Arsenal

AI & Machine Learning

Geospatial & Cloud Integration

Simulation & Development

🌍 Vision

To enable machines to understand and simulate the physical world in 3D with the same intuition and depth as humans.

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  1. floor-plan-object-detection floor-plan-object-detection Public

    This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such a…

    Python 108 27

  2. india-air-quality-analytics india-air-quality-analytics Public

    An interactive spatial analytics dashboard utilizing Sentinel-5P OFFL data to quantify urban air quality degradation. This tool tracks the absolute anomaly and percentage delta of NO2 and Aerosol e…

    JavaScript

  3. Crop-Stress-Detector Crop-Stress-Detector Public

    Standard agricultural monitoring relies on optical "greenness" (NDVI) as a lagging indicator of health. This project establishes a leading indicator by engineering an automated, zero-compute GeoAI …

    Jupyter Notebook

  4. geoai-crop-health-monitor geoai-crop-health-monitor Public

    AI-powered geospatial monitoring system that analyzes Sentinel-2 satellite imagery using Google Earth Engine, detects crop stress using ML anomaly detection, and provides real-time farm health insi…

    Python 1

  5. GeoAI-UrbanX GeoAI-UrbanX Public

    Explainable GeoAI pipeline for mapping urban sprawl using Sentinel-2 data, Random Forests, and SHAP focused on data-centric validation and remote sensing physics.

    Jupyter Notebook

  6. auto-slr-screener auto-slr-screener Public

    An automated, fault-tolerant pipeline for screening Systematic Literature Review (SLR) papers using Large Language Models (LLM). Features strict logic enforcement and API key rotation.

    Python 4