Unsafe Tract Revelation and Inspection Using Machine Learning

Towns of diverse provinces are getting more unsafe day by day. The data following varied crime reports are available for these unsafe towns but, even such reports captioned are not perceived to 80% inhabitants of the town. The intent of this article is to decipher datasets which comprise of two distinct types of the dataset, one stands from real-life established crime dataset taken from police and another one stands from Safety Audit (survey) dataset which is performed by inhabitants of the town and using these pairs, anticipating tracts that may come to be unsafe in the future hinging upon numerous circumstances. In this article, we would be employing the procedure of Machine Learning and Data Science for unsafe tract revelation using the Indore city crime dataset as well as the Safety Audit dataset. The crime data has been obtained from the cyber website portal of Indore city’s police. It comprises of criminal parameter evidences like geolocation caption, classification of different criminal activities, duration i.e. date & time. Before the building and training of the processing model, data pre-processing would be mounted. Onto the next step, drafting of useful extracted features and scaling up of them would be performed which on the precision obtained would be increased further. The various distinct algorithms (such as KNN, Linear & Logistic Regression, SVC etc.) would be tested for unsafe tract revelation and an odd one with satisfactory precision would be opted for analysis. Anticipation of the dataset would be performed in terms of graphical depiction of many cases. For example, at what duration the frequency of criminal rates are high or at which sight the criminal undertaking are high. Safety Audit dataset contains information about various circumstances of a locale such as Light, Visibility, Transport, Security, Walk path, People, Time. The sole intent of this project is to give just an idea of how Machine Learning could be used to provide useful information about unsafe tracts to the user. It is not only restricted to Indore City but could also be used in other provinces being sure of upon the availability of the dataset.