Save Wildlife

Members:

Trang Dang, Truong Dang, Anand Patel, Leon Gao

Inspiration

Based on the zoo theme provided to us and underfunding of animal welfare around the world during the COVID-19 pandemic, we decided to build a website that provides both non-profit organizations and users with essential statistics, predicting data about animal populations. So, they can raise awareness about nature then pay attention to natural activities.

What it does

We built a website made for welfare NGOs to consider the prediction of animal species populations. Therefore, they can have a clear view of nature at the moment in order to raise suitable campaigns that ask for people’s support and donation. Users also can access this website so as to view the information of NGOs, their campaigns, the statistics, from which make their decisions to participate in certain campaigns.

How we built it

Python for the back-end. We applied a linear regression model so as to predict the animal species population decrease in the near future (2022 - 2030). Moreover, we compared the rate of change in these species and made a comparison of animal categories’ emergencies. HTML, CSS, and JavaScript for the front-end. Flask for integrating both Python and HTML. Microsoft-Azure Wix Logo Maker

Challenges we ran into

Unfamiliar with displaying a graph using Python. implementing an image onto an HTML webpage. Formatting and styling the website into the way we wanted it to look.

Accomplishments that we're proud of

Figure out how to build a linear regression model by Python. Figure out how to plot a bar chart with a color bar based on the quantities’ values. Learned to edit a large template to the way we wanted Deploy code to get an image file in HTML. Add image and text into one section onto an HTML webpage.

What we learned

Teamworking Task management Using Flask to integrate Python and HTML Collect data and deal with raw data. How to relocate files using HTML and display them onto a webpage.