This project was developed for the Data4Good Hackathon to create a solution aimed at leveraging data for social good. The project focuses on making the municipal data of Germany easy to digest by creating a report generator that creates insightful and engaging reports.
Here is an article published by University College Dublin about the performance at the hackathon - https://www.ucd.ie/socscilaw/newsandevents/ucdstudentteamwinsrunner-upfortechnicalexcellenceatthedata4goodfestival/
The Data4Good Hackathon Project uses Python to download the Wegweiser Kommune Dataset, and the Open AI API to create reports using selected datasets and time frames through indicators and is neatly packaged in a fully functioning frontend website to solve, the unlocking of data literacy breaking down the wall of insights from behind a wall of data analytics knowledge. The project focuses on providing a scalable solution to policy makers and researchers alike, allowing insights into municipal trends, utilizing data to drive insights and facilitate impactful change. This solution was developed under a tight timeframe and received Runner-Up for Technical Excellence in the hackathon.
- Data Analysis: The project analyzes [type of data] to uncover patterns and trends.
- Predictive Modeling: Uses machine learning models to predict [outcome].
- Visualization: Provides clear and accessible visualizations of the results to help stakeholders make informed decisions.
- [Other features]: [Any other notable features or components]
- [Programming Language(s)]: [Python, Javascript, HTML, CSS]
- Data Sources: [Wegweiser Kommune Dataset -- https://www.wegweiser-kommune.de/daten/demografische-entwicklung+berlin+2015-2022+tabelle]
- [Other tools or technologies]: [Docker, Github]
To run this project locally, follow the steps below:
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Clone the repository:
git clone https://github.com/kertis4/Knowledge-Link.git cd Knowledge-Link