buildearlyed.org https://build-early-ed-webapp-h4lzp.ondigitalocean.app/
Build Early Ed is a web application connecting New Mexicans to opportunities in early childhood education. Using a map powered by data science, community members can identify their eligibility to enroll their child in Head Start or apply for grant funding for Head Start programs based on economic and demographic characteristics. Build Early Ed connects residents to opportunities to advance their career in early childhood education by centralizing academic and professional opportunities in the field. We also connect New Mexicans to local organizations and resources to support advocacy for early childhood education opportunities. Together, we can build a stronger continuum of care for youth in New Mexico.
Demonstration of our app on a mobile device: https://youtu.be/y2RmJah8bCg Documentation of our live map https://colab.research.google.com/drive/1lMTG3axFE9JDObGl5iXGHNvLb2dSpSLz?usp=sharing
Below are screenshots of the app:
Build Early Ed began as a data science project with a goal to use open datasets to identify which neighborhoods in NM were underserved by and eligible for a Head Start Center (https://www.youtube.com/watch?v=1dDkCk3ZhNk). We created a companion web app to share this information with the people of NM to identify the nearest Head Start location, see if they qualify for services, and if there is not a nearby location, use our site to gauge how likely their neighborhood is to qualify for a Head Start location and direct them to resources to apply for one.
Alija is a Creative Technologist with a background in community planning, digital media, and data science. Since completing the Data Science program, Alija has been designing immersive installation art and using machine learning for organizational equity analysis.
Gabriel Fosse has a background in ethical hacking and linux systems administration. After completing the Data Science program he has been working as a freelancer using neural networks for sound classification and analysis.
Our web app and map is powered by Vue.js, Firebase, HTML, CSS, JavaScript, Mapbox, Python, Pandas, Geopandas, XGBoost, Matplotlib, Scikitlearn, Folium, Shapely, and Numpy.
Our web page has an SSL certificate and uses HTTPS encryption. See more on our privacy page.
Contact us at buildearlyed@gmail.com