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Inspiration
We wanted to create something to allow those involved in environmental activism and policy change to know the essential details to inform their actions.
What it does
Our application allows the user to input a city and state and receive recent news, policy, and research on the area summarized using googles natural language processing.
How we built it
We built this as a Flask application using fire base to store popularity of searches, diffbot-article to extract text from articles and pass it to the google natural language api for analysis. Flask was used to sort, analyse and present the results of the google api.
Challenges we ran into
Our primary issue was getting a jquery post statement to register in Flask in order to send the article data to google for natural language processing
Accomplishments that we're proud of
We were able to extract text from articles, analyse and summarize the articles using google NLP, integrate a firebase data structure to store materials for faster loading and data on popular searches.
What we learned
We learned a lot about api integrations through usage of 3. We also learned how to manage the asynchronous nature of ajax calls better!
What's next for habitatStat
We went to be able to actually have the extracted and sent for processing with no human interactions in between. We also want to figure out exactly how to parse for research articles and policy papers.
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