EoloEC

Develop an app or platform to crowd-source information for comparing changes in environmental factors, such as temperature, relative humidity, air pollution, with occurrence of symptoms of allergies and respiratory diseases. Create tools for public entry and grading of symptoms, including but not limited to cough, shortness of breath, wheezing, sneezing, nasal obstruction, itchy eyes; and geographic mapping of symptom frequency and intensity. Create a platform for comparison of symptom map with NASA provided data, with visualization options for web and/or smart phone.

We have developed hardware that automatically tweets weather info, a database that mines info from everything on twitter with the hashtag #eoloec using tweepy, organizes the info in the database that is stored in an raspberry pi, generates a json file through python that can be shown up on our own platform. We do not need a huge storage given the fact that we are using twitter as our storage.

raspberry pi, python, MySQL, json, tweepy, twitter,