53 karma · joined June 24, 2015
After keeping Retail Intelligence in incubation for over two years of intensive and fine-tuning it, we're thrilled to introduce our AI-powered solution to the public.
At the core of our goal is to provide a retail market research solution that is affordable to most researchers. The industry right now is filled with extremely expensive alternatives (*whispers: not mentioning names).
It's important for us to get feedback so we've made a free demo page available to community to try hands on the solution:
Similarly to what we've done with our Image Search API(https://blog.lykdat.com/our-global-image-search-api-is/), we are taking a leap to make our Deep Tagging API available for free. So if you have any interesting Fashion AI ideas you are looking to implement, I'd be looking forward to seeing how our free solutions can help speed up your process to putting together a Proof of Concept.
What could possibly be missing at the moment is a written instruction that documents where to locate the code base on the user's machine post-installation
> there don't seem to be any substantive further improvements planned
About that, the truth is, it often starts with a use-case as simple as "convert PDF to Word". Improvements usually would come from user feedback, and continuous maintenance. While I deliberately started out to keep the App simple, there's a good chance that features and functionality would expand when user feedback gets in the mix.
I'm saying this from my experience with maintaining IGdm (https://github.com/igdmapps/igdm)
However, from an everyday user point of view, it does make it rather simple to convert pdf to word document. An everyday user won't be up for doing that via cli commands. And every alternative user friendly solution requires uploading your documents to servers (which could spark privacy concerns)