Smart Grievance Redressal System with Multilingual Support Using Django and Automated Translation

Abstract

In modern governance and institutional management, effective grievance redressal systems play a crucial role in ensuring transparency, accountability, and citizen satisfaction. However, existing systems often suffer from inefficiencies such as language barriers, delayed response times, and lack of proper tracking mechanisms. This project presents a Smart Grievance Redressal System developed using the Django framework, enhanced with multilingual support through automated translation services.The proposed system allows users to register complaints in their native language, which are then automatically translated into English using the Google Translate API. This feature eliminates communication barriers between users and administrative departments, ensuring that grievances are accurately understood and processed. The system supports multiple user roles, including citizens (users), departmental staff, and government administrators, each with distinct functionalities and access controls.The application follows a structured workflow where users submit grievances that are assigned unique ticket numbers. These grievances are stored in a MySQL database and can be tracked throughout their lifecycle. Departments can view assigned complaints, update their status (e.g., Pending, Under Processing, Closed), and take appropriate actions. Administrators have a global view of all grievances and departments, enabling efficient monitoring and decision-making.The backend is implemented using Django, which handles request routing, database interactions, and business logic. The frontend is built using HTML templates dynamically rendered with Django’s templating engine. The system ensures real-time updates and efficient data handling through structured queries and sessionbased authentication.Security considerations include user authentication, role-based access control, and validation of input data. However, further improvements such as encryption and protection against SQL injection can enhance system robustness.The system demonstrates how integrating web technologies with natural language processing tools can significantly improve public service delivery. It provides a scalable and userfriendly solution that can be deployed in government institutions, universities, and organizations to streamline grievance handling processes.In conclusion, the proposed system enhances accessibility, efficiency, and transparency in grievance management by combining web development with automated translation, making it a practical and
impactful solution for real-world applications.