🙋‍♂️ 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

• For Backend App see Backend Repo
• For Model Training see Training Notebook

• 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.

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

Old Site design, but you get the Idea.