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  Published Paper Details:

  Paper Title

DANGER PREDICTION AND ASSISTANCE SYSTEM

  Authors

  Pramey Modi,  Prachi Modi,  Mohammad Bohara

  Keywords

Machine learning, Data Science, Android app Development, Crime Prediction

  Abstract


Safety app is a machine learning-based android application that is designed for notifying users of the potential threat around them. It is an SOS application that sends alerts to emergency contacts along with the location using Google map. The user gets the notification when their location is predicted by the algorithm to be prone to danger. This application works on factual data and not on objective data received by the users. Another feature of the application includes providing the location to the nearest safe places. The application has easy to use GUI hence efficient for users of all age groups. The main advantage of the application is the alert sent to the user, as during the time of distress the user won�t have to find the application in order to send SOS rather the app does that for the user only on one click on the alert message.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007223

  Paper ID - 196817

  Page Number(s) - 2436-2441

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.24054

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pramey Modi,  Prachi Modi,  Mohammad Bohara,   "DANGER PREDICTION AND ASSISTANCE SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.2436-2441, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007223.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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