A modern hardware accelerated satelite image viewer.
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Updated
Apr 8, 2026 - C++
A modern hardware accelerated satelite image viewer.
This project aims to build a remote-sensing-driven risk dataset at the Gram Panchayat (GP) level to support insurance companies in crop insurance risk assessment and pricing. As the foundation for this dataset, the repository includes an automated web scraper for the PMFBY.
Satellite image classification on EuroSAT using a custom CNN, ResNet-50 and ConvNeXT — with EDA, transfer learning comparison and a Flask inference app.
Machine Learning for GEOspatial applications
Monitoring invasive plant species using satellite data, geospatial analytics, and machine learning.
Siamese U-Net (ResNet34) for building change detection on satellite imagery · F1 0.536 on LEVIR-CD+ · Live demo on HF Spaces
A deep learning system for predicting glacier lake formation and GLOF (Glacial Lake Outburst Flood) risks using multi-modal satellite data and velocity measurements.
🧠 3- AI / ML - Project 2 - Helipad Detector: End‑to‑end YOLO object detection project for rooftop helipads in São Paulo, covering geospatial automation, Roboflow annotation, training, evaluation and a demo web app. 🚁
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