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your personal waste-segregating assistant

GitHub code size in bytes Languages GitHub last commit

Built With

HTML5 CSS3 JavaScript Python Flask TensorFlow Google Cloud

The Problem

India generates approximately 62 million tonnes of waste per year, with only 12 million tonnes being treated. Because of the lack of waste segregation, the percentage of waste that is treated is extremely low.

Waste segregation is crucial to prevent health problems that can result from improperly disposed of waste and contaminants, as well as to lessen the impact that it has on the environment.

Our Solution

Crap Guru attempts to solve this problem by attacking it at its source. It aims to bring waste-segregation to every household via the internet, raise public awareness, and increase the threshold of waste that is treated.

Crap Guru , is dedicated to addressing two of the UN's Sustainable Development Goals: Goal 12 (Responsible Consumption and Production) and Goal 13 (Climate Action) . Through our platform, we aim to create awareness and educate the masses about the importance of responsible consumption and production, as well as the urgent need for action on climate change.

Our use of Machine Learning to assist in the separation of various waste types is one distinctive feature of our project. We can accurately categorise and segregate different forms of waste by training our algorithms on big data sets of waste samples, making it simpler for people and communities to recycle and dispose of their waste responsibly.

This procedure not only reduces the quantity of waste that is dumped in landfills, but it also makes it simpler to recycle and reuse items, conserving resources and lowering our environmental impact. Crap Guru is utilising cutting-edge technology to build a more sustainable future for everyone.

Solution Flow Map

The following map aims to provide a pictorial representation of a the workflow of Crap Guru.

flow

Fork, Build and Run

For complete guidelines on replication of Crap Guru refer to the documentation directory in this repository

Gallery

Desktop

Screenshot 2023-01-07 at 3 43 18 PM

Screenshot 2023-01-07 at 3 41 00 PM

Mobile

Screenshot 2023-01-07 at 3 41 00 PM