The aim of the project is to provide a machine learning service that predicts: The traffic accidents amount, in each geographic point, for the next period of time.
Depending on the environmental conditions at the time the prediction is made. The solution prescribes actions to minimize the number and impact of such accidents minimizing the needed resources.
Advances in data analytics and machine learning now allow the data silos to be analyzed, helping departments pinpoint not only where crime is likely to occur, but when and under what circumstances. Where do people gather after sporting events? What happens when the weather turns warm? How do patterns change when school is out?
By leveraging computer models that take into consideration historical crime trends, demographics, climatology, geospatial information, and other data sets, law enforcement agencies can better plan where to deploy their resources.
Big Data allows you to discover market trends; to know citizens’ sentiments about your brand, your products or your services; to predict consumer behavior and to identify new business opportunities.
Capture real feedback from social media networks: Thematic detection and analysis. Sentiment analysis. Demographic and geographic analysis, Affinity Analysis
