Team 18, Deep Learners

Inspiration

We felt inspired by this project because of the importance of historical preservation and community building efforts for both the continued education of the local population as well to uplift those who live in the area. Furthermore, increasing awareness for growing and evolving neighborhoods brings in interest for further investment, which can drastically change the quality of life in the area over time.

What it does

This website utilizes Hugging Face and Scikit-learn AI for categorization and sentiment analysis, with BeautifulSoup for AI data scraping to consolidate community and neighborhood information, news, and events. In the pursuit of community engagement, there is functionality for neighbors to share stories/photos about the community and search a dashboard for articles, photos, archives, and PDFs. This resource will allow Seneca Street Community Development Corporation to enact their mission of providing a supportive environment to overcome educational, social, and economic barriers by providing community-connecting information to deepen insider and outsider value of the Seneca-Babcock area.

How we built it

We used basic HTML, CSS, and JavaScript for building the frontend of both the website and administrative portal. For our backend, we used python to host the server and SQL for our database with Microsoft Authentication.

Challenges we ran into

We had some problems with scraping as well as mapping our location properly with events as the Seneca Babcock border isn't documented anywhere, so we had to manually

Accomplishments that we're proud of

This effort was completed in approximately 24 hours by our team of 5 and will hopefully revolutionize community engagement in the Seneca-Babcock Area.

What we learned

The most important aspect of mission accomplishment is the intentional development of an organized plan in the beginning of iteration. Specifically, assigning job duties as well as end goals based on the given Challenge Statement were what allowed us to successfully accomplish this task. However, in future efforts it would have been helpful to sit down and discuss with the program lead, in this case Ms. Talia Rodriguez, earlier in the day as it would have allowed us to have a more concrete understanding of what her vision was for this site.

What's next for Team 18, Deep Learners

As we continue on in the work force, the lessons learned in this project, as well as the networking skills developed by working in these interdisciplinary teams, will be invaluable. The real world is built on collaboration, and this has been a significant step in practicing that skill.

Equity and Accessibility

Validated that mobile version of website is still easily navigable
Share via text option (For all events, news articles, studies, etc.)
Language translation tab in top right of page

Use of Microsoft Free Suite

Microsoft authentication for admin portal
Microsoft SQL Serve Express for database

Team roles and contributions

Coordinator - Chloe

Assist in editing all presentation sections
Communicate with project mentors
Provide coordinates for event map

Prototype- Nihal and Nischal

Equally created majority of website functionality
Nischal: Created admin portal for story and community share submissions
Nihal: Created event and calendar page, with pinned map, for community activities and events

Marketing/Financial- Lily