AutoAlbumizer is your ultimate Google Photos management tool, offering bulk uploads and intelligent album creation to keep your memories organized effortlessly.
Efficient Bulk Uploads: Upload your photos to Google Photos in bulk and let AutoAlbumizer automatically create smart albums, saving you time and effort.
Automatic Album Creation: Enjoy an organized photo library with ease as Auto Albumizer combines bulk uploads with intelligent album creation.
Hassle-Free Organization: Say goodbye to manual sorting! AutoAlbumizer's intelligent algorithms automatically organize your photos into albums as you upload them.
Intuitive User Experience: Experience seamless album creation with Auto Albumizer's intuitive interface, designed for ease of use and efficiency.
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We write code in Python, Scala, Julia , and we commit to understanding the algorithms. Upon an agreement on a proposed solution, we code and test the program for a given sample data set.
Distributed programming has other consequences and one of them is how to fit into 'a framework'. In any software you have to have a User Interface (UI) and you want to trigger your algorithm from the UI, optionally with additional parameters. The framework will execute, keep track of the progress, should notify you in case of error, and most importantly you should see the results on the UI once the job is completed. The more you think about this you will realize that you will need a basic authentication/authorization mechanism. Of course, you can change this later according to your enterprise policy. We have a proprietary skeleton framework, and we can integrate this framework into your project very quickly.
We build frameworks using Python/Scala/Julia with or without SPARK, Node JS and Postgres SQL/NoSQL/RDBMS, including the authentication, triggering, and monitoring a job using an API. Optionally, a user interface can be added.
We can work on any technology to prove the concept.
We can design a complete framework on cloud SPARK/Hadoop cluster very quickly. The framework will have REST API, communicate with the cluster, submit and track jobs, view results (actual data), and display errors.
SPARK Cluster setup, performance tuning on Azure, AWS or GCP
We are enthusiast techies and ready to work on any new cutting-edge technologies.
We can use almost any languages/technologies in your projects. However , we can also accomodate any special requests such as SPARK 2.3+, Hadoop, Node JS(for APIs), UI (Angular/React/Vue), and Postgres SQL.
We can setup, troubleshoot, tweak, and deploy your clusters on Azure, AWS, and GCP. We can set in-house clusters provided VPN access to all servers.