Create a secure and accessible online platform for citizens to report complaints, crimes, and missing persons efficiently. It aims to improve transparency and accountability by enabling real-time status tracking for registered users and providing pin code–based crime data access for the public. The system enhances community vigilance and supports law enforcement with centralized data management for better decision-making.
Crimes are at rise and becoming difficult for police to identify and catch the criminals. This increasing crime rate can be reduced by giving alert to the person before its occurrence. Our Proposed System will use Face Recognition Algorithms to detect Criminals and will also use face expressions detection to detect expressions of the person. Face Recognition and Face Expression begins with extracting the coordinates of features such as width of mouth, width of eyes, pupil, and compare the result with the measurements stored in the database and return the closest record (facial metrics).The system will be running in detection mode [i.e scanning] .If a person is feeling uncomfortable with people surrounded by him/her, can scan their face and find out whether that particular person has any crime record or not. If the person is having a crime record then the word criminal is displayed on the screen. If the person is not having any crime record but still he/she is feeling uncomfortable then they can use the emergency button, click on the emergency button then the location of user, image of the suspect and user, and a message for rescue is sent to the volunteers of the system. Here volunteers are the persons, who will register into the system in order to help the people in need.
Keywords: Criminal dataset, Face recognition, Detection.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Operating system : Windows Python
: Version 3.x
Pip : version 19.x
Database : MySQL
Ram : 4 GB or above
Processor : Intel i3 or above
Hard Disk : 500GB
System : Laptop / PC
Components : GPS module, GSM module Microcontroller : Arduino MEGA