To humans, a chatbot is a fantastic advancement. A Chatbot's use may be observed in a variety of sectors. The technique for planning and implementing a Chatbot is covered in this document. After learning the victim's requirements, an Android-based bot may work with them. The main purpose of this system is to register an F.I.R through chatbot in an efficient manner. The main objective is to efficiently provide easy user interface to the victim(user) to gain information regarding different crimes as well as report crime through a fully automated chatbot system that not only saves lots of time but also gives realtime results. The system handles all the operations, including asking questions that is needed in order to report a crime and generates reports as soon as the victim(user) answers the questions, that includes name, email, and other personal questions. Simultaneously the police can access the generated report through a separate portal and can proceed to take action accordingly.
Crime Report, Crime Information, Efficient Chatbot, Police, Public Safety.
 G. Guntoro, Loneli Costaner, and L. Lisnawita, “Aplikasi Chatbot untuk Layanan Informasi dan Akademik Kampus Berbasis Artificial Intelligence Markup Language (AIML),” Digit. Zo. J. Teknol. Inf. dan Komun., 2020, doi: 10.31849/digitalzone.v11i2.5049.
 N. Muangnak, N. Thasnas, T. Hengsanunkul, and J. Yotapakdee, “The neural network conversation model enables the commonly asked student query agents,” Int. J. Adv. Comput. Sci. Appl., 2020, doi: 10.14569/IJACSA.2020.0110421.
 T. Arai, K. Fuji, and F. Yoshida, “The effects of information about crime on mother’s anxiety about crime,” Shinrigaku Kenkyu, 2010, doi: 10.4992/jjpsy.81.397.
 A. A. Overman, K. D. Wiseman, M. Allison, and J. D. W. Stephens, “Age Differences and Schema Effects in Memory for Crime Information,” Exp. Aging Res., 2013, doi: 10.1080/0361073X.2013.761914.
 K. Butorac, “Geography of Crime and Geographic Information Systems,” J. Forensic Sci. Crim. Investig., 2017, doi: 10.19080/jfsci.2017.02.555591.
 C. Ugwuishiwu, F. Bakpo, and C. Udanor, “A hybrid model of a collaborative crime information system,” Int. J. Eng. Res. Technol., 2019.
 M. D. Illescas-Manzano, N. V. López, N. A. González, and C. C. Rodríguez, “Implementation of chatbot in online commerce, and open innovation,” J. Open Innov. Technol. Mark. Complex., 2021, doi: 10.3390/joitmc7020125.
 E. A. J. Croes and M. L. Antheunis, “Can we be friends with Mitsuku? A longitudinal study on the process of relationship formation between humans and a social chatbot,” J. Soc. Pers. Relat., 2021, doi: 10.1177/0265407520959463.
 L. Li, K. Y. Lee, E. Emokpae, and S. B. Yang, “What makes you continuously use chatbot services? Evidence from chinese online travel agencies,” Electron. Mark., 2021, doi: 10.1007/s12525-020-00454-z.
 E. Van den Broeck, B. Zarouali, and K. Poels, “Chatbot advertising effectiveness: When does the message get through?,” Comput. Human Behav., 2019, doi: 10.1016/j.chb.2019.04.009.
 “Design of a Novel Online Crime Reporting System,” no. March 2016, 2021.
 S. Surana, J. Chekkala, and P. Bihani, “Chatbot based Crime Registration and Crime Awareness System using a custom Named Entity Recognition Model for Extracting Information from Complaints,” pp. 3329–3336, 2021, [Online]. Available: https://irjet.com/archives/V8/i4/IRJET-V8I4626.pdf.
 D. Jawale, P. Bharambe, P. Gangrade, and S. Sor, “E-FIR System with Chatbot,” Int. J. Adv. Res. Sci. Commun. Technol., vol. 4, no. 2, pp. 488–491, 2021, doi: 10.48175/ijarsct-1056.