Proposed Strategy for Allergy Prediction Based on Weather Forecasting and Social Media Analysis

Abstract

Allergies have recently become the most prevailing problem after all the technological and industrial development. Human body system has reached the limit where it cannot adapt to such high degrees of pollution and even the natural things at times. Understanding the responsibility of being the most superior race on this planet, humans have implemented technology and its various aspects for the betterment of other species whether it be plant species or animal species. Humans are trying to move towards advancements and taking other living beings with them. At the moment humans have created problems for themselves by destroying the natural flora and fauna. This is debatable that humans did it for everyone or for their selfish sake but no one can deny that damage has been done. The consequences being diseases and allergies all such health issues have increased with time. Now, something had to be done to come over it after all humans are most superior. Again technology came to the rescue and humans implemented systems that can predict weather and climatic changes so that a person can be ready with all the precautionary measures. This paper discusses allergy forecast system. Allergy prediction system will work on a similar principle of data collection and using that data for predicting possible health issues that might occur as a result of the climatic condition in that area. The system collects information from weather forecast system to show possible health problems based on climate and also uses data from social media (i.e. social media analysis) to predict possible problems based on updated form different regions.