Uncertainty based selection of compatible inputs

Geoff (GEOspatial Fact Finder) is a geospatial AI that turns natural language into spatial queries and displays results on a web map

TN-Epic is the world’s first State-Scale Experience OS, transforming Tamil Nadu into a playable AR Meta-Game. By turning monuments into levels and merchants into NPCs, we solve the 80% revenue leakage and ₹1,200Cr sanitation crisis. Built with ARCore, YOLOv8, and Java Spring Boot, it gamifies civic duty for 286M annual tourists.

Winner of FIAP'S Global Solution 2025.1 Challenge. This repository contains the architecture for a multi-agent system where five autonomous "Guardians" work in synergy to predict, manage, and respond to complex events like wildfires, epidemics, and infrastructure failures.

AI-powered wildfire damage detection using IBM/NASA Prithivi-EO-2.0 foundation models and hybrid spectral analysis for high-precision burn mapping.

Geospatial deep learning pipeline for detecting illegal mining structures and machinery in satellite imagery using YOLO and spatial post-processing.

Official implementation of "Risk-Controlled Urban Change Detection: Conformal Prediction Wrappers for Provable Reliability in High-Resolution Satellite Imagery" using PyTorch.

साहित्याच्या पुणेरी पाट्या - Where Marathi literature meets AI. Explore 47+ locations and 60+ quotes across Pune through an interactive 3D map powered by vector search and iconic 'Puneri Patya' design.

Ready-to-use MCP extensions for Gemini CLI and Claude Desktop - neighborhood intelligence, school ratings, flood risk, air quality, and more.

FRA Atlas AI is an intelligent forest rights digitization and monitoring system that automates document verification via OCR, classifies land using CNN & ISRO Bhuvan data, and powers a LangChain-based Decision Support System for transparent, data-driven governance.

Binary classification experiments to interpret Google AlphaEarth Foundation embeddings across ESA WorldCover land cover classes. Part of the study "What on Earth is AlphaEarth?" — 130,000+ experiments using Random Forest, XGBoost, LightGBM and progressive ablation across 64 embedding dimensions.

Temporal crop analysis and multi-cropping detection using Prithvi EO 2.0 embeddings, Sentinel-2 imagery, and unsupervised learning.

Original implementation of the ISARC 2024 paper on underground utility network completion using spatial context and graph neural networks.

Citation-grounded NYC flood-exposure briefings: multi-agent civic AI on Granite 4.1 + Prithvi-EO + TerraMind, every claim cited to a public-record source.

Geospatial AI for land use/land cover change detection correlated with population dynamics using WorldPop COGs, satellite imagery segmentation, and Next.js visualization

AI-Powered Climate Vulnerability Assessment for Transportation Infrastructure using Google's Satellite Embeddings

YOLOv9 computer-vision experiments for map and building detection workflows.

Geospatial AI system for detecting and classifying surface changes using Sentinel-2 imagery, PyTorch Siamese networks, and Google Earth Engine.

OpenMMLab-based remote sensing segmentation pipeline for binary water extraction using SegFormer, ensemble inference, and test-time augmentation.

A national-scale geospatial ML platform that scores every road segment in Australia for wildlife-vehicle collision risk — and recommends exactly where to place warning signs.