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Ecosavvy is a waste segregator based on ML model built using CNN and trained over 8000 data samples which segregates waste into 11 different categories.

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EcoSavvy

"Sort Smarter,recycle better - lets keep our planet greener!"

Ecosavvy is a waste segregator based on ML model built using CNN and trained over 8000 data samples which segregates waste into 11 different categories. It uses computer vision to enable efficient waste management and recycling practices.

Demo

Demo.mp4

Installation (Clone)

open terminal and type

git clone https://github.com/Altafalam3/EcoSavvy.git

or you can download using the url below

https://github.com/Altafalam3/EcoSavvy.git

Frontend ( React )

To install dependency

npm install

To start the server

npm start

For Production Build

npm run build

Backend ( Django )

To run the program in local server use the following command in backend folder

python manage.py runserver

To migrate the database open terminal in project directory and type

python manage.py makemigrations
python manage.py migrate

Server will be available at http://127.0.0.1:8000 in your browser

Don't Forget to whitelist your host origin using django-cors-header when using in production
See Documentation

By Team Debuggers
========Thank You !!!=========

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Ecosavvy is a waste segregator based on ML model built using CNN and trained over 8000 data samples which segregates waste into 11 different categories.

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