WOTI | Devpost

WOTI Og image. Find your women organization.

Inspiration

Recently, issues related to gender-based violence have become a widespread concern, leaving many people feeling powerless in the face of such serious national problems. We wanted to find a way to help people channel their anger into meaningful action instead of letting it turn into helplessness. Many people want to help, but they don’t know where to start. We believed that introducing them to the option of supporting women's organizations could be the first step toward making a difference. Our project was born from the desire to make it easier for people unfamiliar with women’s organizations to find and support causes they care about, while also promoting sustainable financial support for these organizations.

What it does

We developed a service that, through a quick and simple quiz similar to an MBTI test, recommends women’s organizations that best match the user's values and preferences.

How we built it

To gather data on women’s organizations, we selected 16 organizations that we believe are worth recommending. We then categorized them into 8 new "types" based on 4 key factors, similar to how the MBTI uses 8 letters. For example:

D for direct service, I for indirect service
L for large organizations, S for small or medium-sized ones
F for focused on specific issues, B for broader women’s rights issues
A for advocacy-based work, E for education and empowerment-focused work

Each type was mapped to one of the 16 organizations. Users answer four questions about their preferences, and based on their responses, we calculate their type and recommend an organization. The result page provides more information about the recommended organization and includes a donation link. Users can also share their results on social media to help spread the word.

We built the web front using Next.js and stored all the data statically on the frontend for faster performance. We used Supabase for storing dynamic data like messages on a guestbook. For deployment, we utilized Vercel. The ideation and planning were organized using Excalidraw. Additionally, we implemented i18n to make the site accessible for English-speaking users.

Challenges we ran into

Initially, we wanted to cover a wide range of organizations, including those focused on issues such as women’s rights, children, disabilities, and the environment. However, we realized that this would require creating different questions for each category, making the process complicated. To streamline the user experience and provide more personalized results, we decided to focus solely on women’s organizations.

Another challenge was gathering detailed data for all 16 organizations within a limited timeframe. We established a selection criteria for the organizations and conducted research and surveys to compile the initial list of organizations. For the remaining data, we used Claude AI to generate the necessary information. By specifying the organizations and the type of information we needed, we were able to quickly obtain accurate results.

Accomplishments that we're proud of

In a short period, we were able to build a functional website that allows real users to go through the entire process, thanks to our focus on delivering a minimal viable product with minimal technical input.