Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.

Python application based on KLT Algorithm for Registration of Images from Observing Systems (KARIOS)

[CVPR 2026] Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite Imagery

Semantic segmentation of road networks in high-resolution satellite images using a deep neural network architecture.

Server-Side GeoTIFF Rendering and Integration for Tile-Based Maps with ASP.NET Core

SAR image classification with optical domain transfer

Nasa Space App Challange 24 - Champion @dhaka. Landsat Pulse is a web application that simplifies access to real-time Landsat satellite data, enabling users to monitor environmental changes and receive notifications for satellite passes and new data availability without needing technical expertise.

Cloud movement prediction from satellite imagery using ConvLSTM and Optical Flow

Machine learning for pre and post-harvest crop stages in Ukraine via satellite Imagery

a modern and interactive map-based visualization tool for tagged locations.

Final Semester Dissertation Project – MCA, VIT | Deep Learning-based Water Body Detection from Satellite Images and Trend Analysis of Vellore's Water Spread

This is the code used in the can-sized satellite for team Idealite in the Canadian Satellite Design Challenge (CSDC).

Code for our submission to Solafune: Identifying Deforestation Drivers ML competition

A Google Earth style Planet viewer.

Satellite imagery analysis pipeline for detecting and mapping wildfire burn severity using ML....

A Geo-AI engine for automated ESG and supply chain monitoring. This project uses a ResNet-101 model, fine-tuned on the EuroSAT satellite dataset, to classify land use and detect environmental risks like deforestation, helping enterprises meet regulatory requirements and enhance transparency.

Geospatial machine learning pipeline to detect and quantify urban expansion in Surat (India) using multi-temporal Landsat imagery. Implements NDVI/NDBI-based weak supervision, Random Forest classification, confidence-filtered change detection, and directional growth analysis.

Estimation of poverty rates in African countries using daytime satellite images

GeoShield is an advanced AI-driven platform designed for real-time landslide risk assessment using interactive satellite imagery and deep learning