Kshitij Raj Sharma
Kshitij Raj Sharma is a backend engineer at HOTOSM from Nepal, He is a passionate spatial developer with a love for open-source software and open data. His expertise in spatial data and deep interest in mapping led him to explore the potentials. Kshitij has been experimenting and advocating for FOSS and contributing to open data initiatives.
Sessions
The name fAIr is derived from the following terms:
f: for freedom and free and open-source software
AI: for Artificial Intelligence
r: for resilience and our responsibility for our communities and the role we play within humanitarian mapping
fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT), designed to enhance the efficiency and accuracy of mapping efforts for humanitarian purposes. By utilizing computer vision techniques and open-source AI models, fAIr detects crucial map features from satellite and UAV imagery, starting with buildings. The service fosters collaboration with local communities, enabling them to create and train their own AI models, ensuring relevance and fairness in mapping. Through a constant feedback loop, fAIr progressively improves its computer vision models, contributing to the continuous advancement of humanitarian mapping.This talks will talk about our journey and vision for using AI
OSMSG is an Open Source Python command line tool for OpenStreetMap statistics, can be installed through pip. It processes planet files directly, allowing for generation of stats for any time period without any database or additional resources. It can also process changefiles for customized analysis. OSMSG can extract country-level data and generate hashtag stats, supporting multiple output formats for data visualization. Ideal for researchers ,developers and mappers, it's a simple yet powerful tool for timely and relevant OSM data insights.