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 potential of AI. Kshitij has been experimenting and advocating for FOSS and contributing to open data initiatives.
Sessions
Open source mapping: Connect and work with the Tech & Innovation team at Humanitarian OpenStreetMapTeam (HOT)
Come and meet the Tech & Innovation team at the Humanitarian OpenStreetMap Team (HOT), hear about the status of the existing and experimental open mapping tools, and explore how you can get involved!
In this side event, you will hear about the latest open source technology developments ranging from remote mapping using HOT Tasking Manager, field mapping using the Field Mapping Tasking Manager (FMTM) to uploading imagery using Open Aerial Map, exporting OSM data using the HOT Export Tool and AI-assisted mapping with one of the most recent projects we are working on - fAIr.
We want to connect with people who are working on anything from imagery to data visualization and provide a space to get hands-on and deep-dive into the various stages of the open mapping workflow. Participants may choose any workflow they would like to focus on, and in groups, deep dive into the topic of interest. We are looking for YOUR contributions. Whatever your skills/interest might be, there will be something for YOU to input and collaborate on with our team!
Registration: Anyone is welcome to drop in the session!
This event will be held on June 27 from 15:00. Please register here - https://docs.google.com/forms/d/e/1FAIpQLSdAYmcWCdZ2X7Oorx1pj-l698w4jBv6gHhV3O-cRtvqT9G1Tw/viewform - and tell us what you are most interested in working on during the session. We will reach out to you before the side event.
Look forward to meeting you in person!
Whatever your technical background is, we will find an area that matches your interest! Take a look at the HOTOSM Github repos: https://github.com/hotosm
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