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Home Page: https://twitter.com/mapo_ai
License: MIT License
Predict mining prospects and mineral deposits using deep learning and satellite imagery
Home Page: https://twitter.com/mapo_ai
License: MIT License
As a developer, I want to deploy Mapo on a scalable solution, such as Descartes Labs, so that I can leverage highly-scalable processing capabilities.
As a developer or data engineer, I want to build a data pipeline for Landsat dataset, so that I can to feed the satellite imagery data into a machine learning model.
As a deep learning developer or engineer, I want to select the most suitable deep learning algorithm, so that I can save myself time and leverage other people's previous work.
As a contributor to Mapo, I want to review DMEC (Decennial Mineral Exploration Conferences) for "information and connections", so that I can push Mapo forward.
As a developer or data engineer, I want to build a data pipeline for MINFILE dataset, so that I can to feed the mineral occurrences data into a machine learning model.
As a developer or data scientist, I want to create EDA (Exploratory Data Analysis) to explore MINFILE (mineral occurrences), so that I can better understand available mineral deposit data.
As a Software Developer, I want to create a MINFILE dataset.
As a developer or a data scientist, I want to create EDA (Exploratory Data Analysis) for Landsat satellite imagery, so that I can better understand what data is publically available.
Consider creating a claims dataset which track possible mineral locations. BC has a Mineral Titles Online (MTO) which can be used to generate the datset.
As a developer, I want to use landsat-util library to create a Landsat dataset, so that I can generate imagery dataset.
As a developer, I want to launch a working prototype of Mapo uses BC mining data and satellite imagery to make predictions for gold deposits, so that we can present our solution to any mining exploration or mining production company in BC.
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