Crime Awareness and Registration System

Authors

  • Pranav Lonari  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Pune, Maharashtra, India
  • Sudarshan Jagdale  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Pune, Maharashtra, India
  • Shraddha Khandre  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Pune, Maharashtra, India
  • Piyush Takale  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Pune, Maharashtra, India
  • Prof Yogesh Mali  Assistant Professor, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Pune, Maharashtra, India

Keywords:

Machine learning, Neural networks, IPC, Chatbot.

Abstract

The Crime rate has always been very high in India. Country has been on top in list for most of the years. The most relevant reason of such crime rate is slow judicial process and absence of knowledge in field. Many of the crimes can be prevented or reported early with an efficient user friendly system. The perspective of citizens about the judicial system and police has not been so good or falsely understood. Many of the cases do not get registered for above reasons. The reachability is poor as well as do not work for everyone. Records can be easily destroyed or fabricate. Law and rules are not known by everyone in this country and in many of the cases victim does not know that they have been accused or any criminal activity is happening around them this absence of knowledge leads to increase in crime but decrease in registering complaints. Hence crime happens which damages the society and we may not be able to overcome the situation because of absence in records and knowledge We can overcome this gap using an efficient user friendly system which allows us to know about crimes around us and help us to file complaint of crime easily. A platform for both user and authority to connect with each other.

References

  1. Ravichandran, K., & Arulchelvan, S. (2017). “Structural Equation Model Analyzed on Cyber Crime and Media Awareness in India“. 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM).
  2. Zayid, E. I. M., & Farah, N. A. A. (2017). “A study on cybercrime awareness test in Saudi Arabia - Alnamas region”. 2017 2nd International Conference on Anti-Cyber Crimes (ICACC)
  3. Ki, Y. P., & Hee, Y. Y. (2011). “Crime Prevention System Based on Context-Awareness”. 2011 3rd International Workshop on Intelligent Systems and Applications.
  4. Datta, P., Panda, S. N., Tanwar, S., & Kaushal, R. K. (2020). “A Technical Review Report on Cyber Crimes in India”. 2020 International Conference on Emerging Smart Computing and Informatics (ESCI).
  5. Azeez, J., & Aravindhar, D. J. (2015). “Hybrid approach to crime prediction using deep learning”. 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
  6. Mkhwanazi, K., Owolawi, P. A., Mapayi, T., & Aiyetoro, G. (2020). “An automatic crime reporting and immediate response system”. 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD).
  7. Gambino O. Augello A. Caronia A. Pilato G. Pirrone R. Gaglio S., “Virtual conversation with a real talking head. Proceedings of the Conference on” Human System Interactions, 25-27 May 2008, Kraow, Poland, pp. 263-268.
  8. R. S. Russell, “Language Use, Personality and True Conversational Interfaces”, Project Report of AI and CSUniversity of Edinburgh, Edinburgh, pp.1-80, 2002.
  9. Y. Zhou, X. Ziyu, A. W. Black, A. I. Rudnicky, “Chatbot Evaluation and Database Expansion via Crowdsourcing”, Proc. of the Chatbot Workshop of LREC, US, pp. 16-19, 2016.
  10. C. R. Anik, C. Jacob, A. Mohanan, “A Survey on Web Based Conversational Bot Design”, JETIR, Vol.3, Issue.10, pp. 96-99, 2016.
  11. Ramos, S., Perez-Lopez, J. A., & Abreu, R. (2020). “An Analysis of the Importance of the Artificial Intelligence on the Information System of Police Forces”. 2020 15th Iberian Conference on Information Systems and Technologies (CISTI).
  12. Mary Shermila, A., Bellarmine, A. B., & Santiago, N. (2018). “Crime Data Analysis and Prediction of Perpetrator Identity Using Machine Learning Approach”. 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI).
  13. Gonda, D. E., Luo, J., Wong, Y.-L., & Lei, C.-U. (2018). “Evaluation of Developing Educational Chatbots Based on the Seven Principles for Good Teaching”. 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).
  14. Murcia Trivino, J., Moreno Rodriguez, S., Diaz Lopez, D. O., & Gomez Marmol, F. (2019). “C3-Sex: a Chatbot to Chase Cyber Perverts. 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing”, Intl Conf on Pervasive Intelligence and Computing,IntlConf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
  15. Zolfi, H., Ghorbani, H., & Ahmadzadegan, M. H. (2019). “Investigation and classification of cyber-crimes through IDS and SVM algorithm”. 2019 Third International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
  16. Rajapakshe, C., Balasooriya, S., Dayarathna, H., Ranaweera, N., Walgampaya, N., & Pemadasa, N. (2019). “Using CNNs RNNs and Machine Learning Algorithms for Real-time Crime Prediction”. 2019 International Conference on Advancements in Computing (ICAC).
  17. Kumar, M., Hanumanthappa, M., & Kumar, T. V. S. (2017). “Use of AADHAAR biometrie database for crime investigation — Opportunity and challenges”. 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).
  18. G. Krishna Vamsi; Akhtar Rasool; Gaurav Hajela, “Chatbot: A Deep Neural Network Based Human to Machine Conversation Model”, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT).
  19. A. M. Rahman, Abdullah Al Mamun; Alma Islam, “Programming challenges of chatbot: Current and future prospective”, 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).
  20. Mounika Karna; D. Sujitha Juliet; R.Catherine Joy, “Deep learning based Text Emotion Recognition for Chatbot applications”, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184).

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pranav Lonari, Sudarshan Jagdale, Shraddha Khandre, Piyush Takale, Prof Yogesh Mali, " Crime Awareness and Registration System " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.287-298, May-June-2021.