Inspiration
Our inspiration for this hackathon project was to initially create a way to document places in your community that were run down and needed to be fixed. And that evolved into I-Proven to include environmental changes.
What it does
I-Proven will take images from the user and will compare them to a possible larger database of officially documented pictures from professionals that will allow them to recognize any environmental damages in their community.
How we built it
Go API built with python dev ops in a container framework using Podman, with a post press database because it has geolocation and we chose Go Length for its simplicity and its performance. With a rest API with post and git endpoints, for file uploads and all images and metadata within a mile of the location provided. With Super advanced dev ops.
Challenges we ran into
Images are difficult to store because of their size and we needed to also store the geo location. We also needed to make sure that the data was secure.
Accomplishments that we're proud of
This is our first hackathon as a group and we are learning how to pace ourselves correctly and how to work efficiently as a team.
What we learned
We learned how to effectively use Podman to run data containers and how we can use post gres geo-location to accurately measure the location of the picture taken.
What's next for I-Proven
We can include more data about what is photographed by the user, such as carbon content, biodegradable, severity of pollution, and possible causes of the environmental damage.
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