Predicting Emergency Incidents: A Machine Learning Approach

Predicting Emergency Incidents is a project based upon machine learning. This project can be used to predict the area in which there may be need of some emergency resource. This project can help emergency service providers (like fire service providers, police, ambulance service providers) to allocate their resources in emergency prone areas which can save time, money and life’s. Predicting Emergency Incidents project was developed using Python and Qt Designer. It uses scikit learn library for its machine learning model. It is based on a supervised machine learning model. It uses pin code, hour of the day, day of month, and month of the year as input for predicting the level of emergency (High/Medium/Low) in a particular area. It can also predict the level of emergencies for a range of pin codes. A user can also see the plot of number of incidents against pin code/hour of day/day of month/month of year for all the available data in predictor.