Grievance Redressal System Using Django

Authors

  • Mandela Lohith Soma Sundar Kumar PG scholar, Department of MCA, CDNR collage, Bhimavaram, Andhra Pradesh Author
  • K.Venkatesh (Assistant Professor), Master of Computer Applications, DNR collage, Bhimavaram, Andhra Pradesh. Author

Abstract

This project presents the design and
implementation of a web-based Grievance
Redressal System developed using the
Django framework and integrated with the
Google Translate API for multilingual
complaint translation. The system allows
users to file grievances in various languages,
which are automatically translated to
English to facilitate processing by the
concerned departments.

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References

Google Cloud Translation API

Google Cloud. (2024). Cloud Translation

API. Retrieved from

https://cloud.google.com/translate

This documentation provides insights into

how the Google Translate API can be

integrated with applications to offer

multilingual support, facilitating a broader

user base.

Django Documentation

Django Software Foundation. (2024).

Django Documentation. Retrieved from

https://docs.djangoproject.com/en/stable/

This reference provides comprehensive

details on Django's core features, including

its ORM, views, templates, and security

measures, essential for the development of

the Grievance Redressal System.

MySQL Documentation

Oracle Corporation. (2024). MySQL

Reference Manual. Retrieved from

https://dev.mysql.com/doc/

The MySQL documentation offers extensive

guidelines on how to work with databases,

structure SQL queries, and handle large

datasets efficiently for the Grievance

Redressal System.

Introduction to Natural Language

Processing (NLP)

Bird, S., Klein, E., & Loper, E. (2009).

Natural Language Processing with Python.

O'Reilly Media.

This book offers foundational knowledge on

NLP techniques, which could be

implemented in future enhancements of the

Grievance Redressal System, such as

automatic categorization and sentiment

analysis.

OpenCV Documentation

OpenCV.org. (2024). OpenCV

Documentation. Retrieved from

https://opencv.org/documentation/

The OpenCV library could be leveraged for

integrating image recognition capabilities in

the Grievance Redressal System, allowing

multimedia complaints to be processed more

effectively.

Building Web Applications with Django

Wadsworth, S. (2018). Building Web

Applications with Django. Packt Publishing.

This book provides an in-depth look at

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Published

2025-05-01

Issue

Section

Articles

How to Cite

Grievance Redressal System Using Django. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(5), 388-393. https://ijmec.com/index.php/multidisciplinary/article/view/670

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