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title: README
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GalsenAI

GalsenAI is a community initiated by Artificial Intelligence (AI) enthusiasts for the purpose of building and popularizing a powerful and productive AI ecosystem for West Africa. It aims to set up a platform for intellectual exchange, popularization and learning on any topic revolving around AI (Artificial Intelligence), Big Data or IoT (Internet of Things). It organizes Conferences, Meetups, Workshops, Hackathons, Certification Training and initiates Data Collection and Research Projects around AI and Machine Learning through the GalsenAI Lab.

GalsenAI Lab

The GalsenAI Lab is GalsenAI's Research and Development (R&D) arm. It focuses on projects involving Data Collection, Machine Learning model design and Scientific Publications in the following areas:

Natural Language Processing for African languages in general and Senegalese languages in particular;
ML applied to Geospatial Data ;
Computer Vision for African challenges;
ML applied to Health in Africa.

Currently, the team is focused on NLP for African languages and ML applied to Geospatial Data. We remain open to initiating working groups in the remaining areas. Feel free to send a joining request or contact us via contact@galsen.ai if interested.

Our Vision

OpenAI has achieved a major milestone in popularizing Artificial Intelligence worldwide with its ChatGPT conversational agent. This is a practical application of NLP, and we're convinced that, more than anywhere else in the world, the breakthrough of AI in Africa will necessarily happen through language processing.

That's why we're aiming to make NLP for African languages the continent's most powerful vector for digital inclusion.

The Lab also aims to be at the heart of AI R&D in Senegal and Africa. It thus intends to expand into other relevant fields beyond NLP to help solve Africa's most pressing problems through an open, inclusive and participatory approach.

Participatory Research and Open Science

We believe that research should not be restricted to the academic world. People with a wide variety of backgrounds could be extremely valuable in specific components of a research project. The African context, which is moreover characterized by highly difficult resource access (financial, human, computing, storage, data...), constitutes a context in which open and participatory science offers a promising response to research development.

Alone we go faster, but together we go further!