WasteWatcher

Home Page
List of wasted dishes with dates
Specific item details from the Wasted Food page
Raspberry Pi Setup with Dustbin
Raspberry Pi Setup with Dustbin from another angle

Inspiration

It is estimated that nearly 40% of the food produced in India is wasted. This is an average of 67 million tonnes of food (worth over 92,000 crores) that is wasted annually. Because of this, we were inspired to build something that solved this grave issue.

What it does

WasteWatcher is our product that helps consumers minimize their food wastage.Using a microcontroller, WasteWatcher analyzes the types and ingredients of wasted food through object detection and data analytics. Additionally, we have a consumer facing app that displays data from the micro

How we built it

We used the open source Flutter framework to build our cross platform mobile application. We also used python and opencv on a raspberry pi to perform object detection and data analysis. Our backend servers were also written in python, and we used SQL to interact with the database.

Challenges we ran into

Working with the raspberry pi proved to be quite difficult, as it was quite the tiresome task to install packages and software on it. It was also difficult to design a user-friendly interface for the mobile app.

Accomplishments that I'm proud of

Both the functional frontend app and the backend server are definitely accomplishments. We are also proud of our object detection code and hardware work using the raspberry pi.

What we learned

We learnt how to develop applications with both a frontend and a backend. We also honed our computer vision skills and learnt to work with hardware more seamlessly.

What's next for WasteWatcher

In the future, we would like to... Add a dashboard for grocery stores and suppliers, which allow them to gauge the demand of a certain item based on location Partner with local grocers or small restaurants. Add restaurant franchise support Add advanced recommendation system upon the analysis of the data we collect