Inspiration
The inspiration for this project was how four Muslim women can help other women. We wanted to create a safe place for those who have experienced sexual assault to find advice, heal and move forward while allowing the user to remain anonymous. It is also a form of collecting data using data equity for those who have been sexually assaulted. we are trying to provide accurate information by taking away the pressure of their assault being made public, which other forms of data may not have, thus increasing the accuracy of our data. This may allow researchers and others looking for data on sexual assault get accurate estimates.
What it does
Our web app will allow the user to open it and only ask the user for very minimal personal information such as if they are above or below the age of 18, the state they are in, and what form of assault they have experienced. From there they will be provided links to direct them to the best sources. On the other end based on the buttons clicked by the user, data will be collected into a data frame and used to be presented in a data chart shown on the web app.
How we built it
- Building this web app we used Streamlit
- Coding in python.
Challenges we ran into
One challenge we ran into was getting Streamlit started up. It took us an entire day to figure out how to get it working on VS and unfortunately set us back by a lot.
Accomplishments that we're proud of
We were very proud of getting some coding done. Our team is composed of all beginner coders, so we were worried we would not be able to do anything but the little bit we got to spend on Streamlit we got some code done.
What we learned
As a team, we learned to come more prepared. possibly knowing what tools we will be using beforehand so we do not run into these problems in the future.
What's next for A place for Healing "Shifa. Com"
To expand on our project we would not only like to add the data aspect of the project but also expand to other issues. Such as Race and discrimination in your community, Islamophobia, mental health, and abuse.
Built With
- python
- streamlit
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