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Citizen-Safety

PROBLEM STATEMENT:

Cities have issues of safety. There is data available in cities, which indicates a particular section being more unsafe than others. What should be done with these unsafe parts of any city to increase the safety of our citizens?

Why do we need this system?

  • Now a day’s crime rate in India is increasing rapidly.
  • There are specific areas where citizens are facing more safety issues than others.
  • Due to the lack of awareness about these unsafe places, unknowingly people are facing risky situations.
  • CITIZEN SAFETY is an android application which helps to avoid unsafe situations by providing safety measures.

SOLUTION APPROACH:

  • Crime data will be taken from online websites and analysed by using Named Entity Recognition Machine Learning Algorithm and stored in firebase Realtime database.
  • If user enters into unsafe zone, alert notifications and safety measures will be delivered to the user.
  • Besides control rooms(nearby) will also be notified about the user’s location.
  • If user taps the notification , Need for help alert will be delivered to control rooms and pre-registered numbers.-
  • This application provides report session where user can apprise their experiences of crime.

TECHNOLOGY STACK:

  • Android Studio
  • Python 3.8
  • Machine Learning(Natural Language Processing)
  • Firebase