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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.