Deep Learning based Web App for Detection of Plant Diseases (SDG #2)
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
NPM, PIP, MongoDB to install all dependencies Also hosted on Heroku agriscan.herokuapp.com
What things you need to install the software and how to install them.
Web Frameworks: Express.js Bootstrap Multer NodeJS MongoDB JS HTML5 CSS3 PUGJS VUEJS
Python Libraries: gunicorn numpy fastai torch
View the Jupyter Notebook for the DL application on the third link provided in the project submission to see how the neural network processes data and its accuracy.
Uses a JS to Python connector to run the CNN's python model scripts.
Run MongoDB community edition server Run on http://localhost:8080 or using the heroku link provided. Say what the step will be
npm install
flow - vs code extension, type checking JS
pytorch - for training the deep learning network
- Hackathon Boilerplate provided
- Trello for Project Management
- Git for version control
- Heroku for deployment