Garbage collection optimization

Tech Stack
Similar UI For our web app
Key learning

Inspiration

Solid Waste Management is of critical concern and needs attention. Whereas many developed countries are searching for ready-made sustainable waste management solutions. Safe and cost effective solid waste management is a great challenge for modern society. It is estimated that 40% of the waste remains uncollected. This software aims for a technical solution for the management of solid wastes by providing visibility on city sanitation, route planning for garbage collection, resource optimization, air quality measurements, visibility of bins in order to maximize the waste collection.

What it does

The idea remains eccentric to maximize waste collection keeping in mind its cost efficiency, scalability, and feasibility as the key fundamentals making the whole garbage collection ecosystem less user(households) reliant and still retaining its effectiveness.

=>Route planning for garbage collection: Finding the shortest optimal route after identifying checkpoints (nodes) across the locality implying shortest-path algorithms that take inputs from Google’s geolocation API for mapping. Allowing cost reduction and time minimization. That helps maximize garbage collection. Link for the demo of Route planning

=> Visibility on city sanitation Providing the users with a web app that allows them to get notified on the arrival of garbage collection vans in their localities/nearby. Also open to registering for grievances, for NGOs collaborating on spreading awareness, etc. That helps promote garbage collection and segregation at the grass-root level.

=>Air quality measurements This can be done simply by analyzing the sensor’s received data using a Machine Learning model using on a sci-kit learn library based on a probabilistic model that fetches only the “unusual” data to diagnose the situation of that respective area.

How we built it

Firstly we used frontend technologies to make the frontend of our website such as Figma, React, Bootstrap, Tailwind, etc. Figma and Adobe XD for completely designing the UI and UX. Further more, We solved the problem of feasible distance by using an API called TOM TOM API and used Google map's API for map. Link for the demo of Route planning

We also build a notification System in which when the garbage truck enters a particular radius the user will get notified. We used Geofencing in this. Let's understand it more clearly: Assume a square/rectangle around your house, then there must be some values of longitude and latitude of the four corners of the square. If an Object enters that square then the user will get notified. We tried to build a prototype for this also, which will send you a notification if you are outside of that square. We took location of my college which SKIT :) Have a look at the protype Click on "TRY IT" and it will show your present Latitude and longitude If the latitude and longitude are outside of my college square then it will give you notifications continuesly (ik it's annoying :))

From this prototype we wanted to show that this can be build more further and implemented on large scale.

Challenges we ran into

Though we tried to complete the project in these two days but due to lack of resources we were not able to complete the projects in 2 days. The main problem was to get all the data of the city for geofencing.

Accomplishments that we're proud of

We recently discussed our problem statement with kunal kumar(IAS & Joint Secretary & Mission Director, Ministry of Housing and Urban Affairs) He helped us to know the problem better and also motivated us to make this solution.

Also previoulsy we were facing problem in notifications, Firebase was there but we were not able to send Customized SMS and messages to the user. That's where Twilio API comes into play we used twilio API to send whatsapp messages to the user.