Criminal Investigation Tracker with Suspect Prediction

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Abstract

We’re to propose a criminal investigation  tracker system that tracks the investigation status of  criminal cases with detail logs and also predicts primary  suspects. The system is initiated to help agencies like  Police Departments, CBI, and other such department’s  to follow up investigation process and track status of  multiple cases at a time. The system keeps detail logs of  a case which includes case information, people involved,  discourse, previous criminal records of those involved,  Items fetched on scene and other detail information. The system expect the type of case, allows admin to modify the  status of investigation, add more images of crime, items  found on scene etc. this enables sanctioned officers to  check case status and appearance into its status online  and also update any supported and important information  as and when needed. The system also provides feature of  a suspect-prediction algorithm. Supported sort of case,  intellectual property, land, personal or other entities  involved the system studies past cases, it studies past  criminal records of these involved and supported this  data it provides suggestions of suspected persons during a  logical order. The system is meant to assist investigation  teams to figure collectively on cases, coordinate and  also speed up the method by suggesting logical suspects  supported data provided.

References

Criminal Investigation tracker using suspect prediction, Aakash Desai, Gautami Shinde, Omkar Narvekar, VarshaBh, 2017

Criminal Investigation tracker using suspect prediction, Dr. C. S. Shinde, Miss. Priyanka More, Miss. Sandhya Sonkamble, Miss. Nayana Pati,l Miss. Krutika Kulkarni, 2019

Enabling Real Time Crime Intelligence Using Mobile GIS and Prediction Methods, M. Saravanan, Rakhi Thayyil and Shwetha Narayanan, 2013

Criminal Investigation Tracker with Suspect Prediction, Gouri Nair, Himanshi Rana, Yash Salvi, John Kenny, 2020.

Bogomolov, Andrey and Lepri, Bruno and Staiano, Jacopo and Oliver, Nuria and Pianesi, Fabio and Pentland, Alex.2014. Once upon a crime: Towards crime prediction from demographics and mobile data, Proceedings of the 16th International Conference on Multimodal Interaction.

Yu, Chung-Hsien and Ward, Max W and Morabito, Melissa and Ding, Wei.2011. Crime forecasting using data mining techniques, pages 779-786, IEEE 11th International Conference on Data Mining Workshops (ICDMW).

Kianmehr, Keivan and Alhajj, Reda. 2008. Effectiveness of support vector machine for crime hot-spots prediction, pages 433-458, Applied Artificial Intelligence, volume 22, number 5.

Toole, Jameson L and Eagle, Nathan and Plotkin, Joshua B. 2011 (TIST), volume 2, number 4, pages 38, ACM Transactions on Intelligent Systems and Technology

Wang, Tong and Rudin, Cynthia and Wagner, Daniel and Sevieri, Rich. 2013. pages 515530, Machine Learning and Knowledge Discovery in Databases.