/AushadHubFrontEnd

Repo 2 of AushadHub, a FlaskApp with HTML, CSS and Javascript as FrontEnd. This is client side FrontEnd which posts the Image input to endpoint of FlaskApp hosted on google cloud for preprocessing and Inferencing.

Primary LanguageHTML

AushadHubFrontEnd

🙋‍♂️ It takes a hot minute (1~2 mins) to load the site, why ? well, render drops all the resources after 15 mins of no incoming traffic. And, I am quite sure you're probably the first one visiting the site in weeks ( well, technically i do stare into this void of a site every morning, don't ask me why ) .

The Front-End is entirely designed and implemented by Abhinav, check him out @abhinav0git


This Project is divided across three repositories, This repo deals with the Frontend App

What is this? :

  • The Project aims to solve the problem of identification of medicinal herbs.
  • The Machine Learning Model uses ResNet, with a validation accuracy of 98% and testing accuracy of 96%.
  • The training and testing dataset contains over 1500 images across 30 medicinal herb species.

Tech Stack Used for this:

  • Python 3
  • Flask
  • Pillow
  • HTML
  • CSS
  • JavaScript
  • GitHub

In Action :

Old Site design, but you get the Idea.

FrontEndDemo.mp4