I've been building a personal search engine in Flask/Python using Solr @ https://mitta.us/. Mitta runs on Google Cloud instances + AppEngine. The system uses a plugin and a headless Firefox + an image ML pipeline to extract meta data and text from pages to provide full text and object search. The system is currently command line driven from a web UI. Documentation for the backend system is at https://mitta.us/apiv1
Mitta provides methods to crawl, index, tag, filter and search various information over time.
My thoughts are that I will continue to work on this over the coming months to explore a few use cases for managing imagery for ML based business models, including analysis for time series data and bookmarking, such as we did at Loggly with system logs.
A versatile product oriented cofounder who codes would be useful in taking this proof of concept to market.
Mitta provides methods to crawl, index, tag, filter and search various information over time.
My thoughts are that I will continue to work on this over the coming months to explore a few use cases for managing imagery for ML based business models, including analysis for time series data and bookmarking, such as we did at Loggly with system logs.
A versatile product oriented cofounder who codes would be useful in taking this proof of concept to market.
Email kordless AT Gmails.