Chow Report

Inspiration

We took inspiration in the Sustainable Development Goals, in one of the biggest problems of our city, abandoned animals, and in the hard-work that organizations do everyday which can be automatized.

What it does

It connects users and organizations to help them both make easier the process of rescuing stray dogs, giving users a handy and intuitive way to report them, and organizations an easy and effective tool to attend the reports.

How we built it

We built the project using mostly Python for the backend and React integrated with Tailwind´s css library Flowbite for the frontend. We used K-means clustering for the clusters, and Google-Maps API for the locations and maps embedding.

Challenges we ran into

We had a lot of trouble connecting to the database and displaying the google maps API.

Accomplishments that we're proud of

We are proud that we were able to complete most part of the project in the little time we had available, also, that we used a lot of new technologies that we had not used before.

What's next for Chow Report

Chow Report can be escalated to all types of organizations (first-responders, feminist collectives, etc.) and can grow to be available in all the world.

Built With

• css
• firebase
• flowbite
• google-maps
• jsx
• python
• react
• sklearn