An Automated System for Rural People Complaint Handling, Monitoring and Analysis using Data Analytics

In this paper, we attempted to explain the disconnect between rural citizens and their local authorities in terms of the common difficulties they encounter. Rural residents face challenges, and the government has resources to address them, but there is no link between the two. We have developed an automated system for handling, monitoring, and assessing rural inhabitants' concerns and assisting them in resolving these complaints as quickly as possible, resulting in the growth of such regions. We intend to collect and create a text dataset of rural people's concerns in classify them using a machine learning model. We have created a user-friendly dashboard for administrators to monitor, handle, and analyse complaints by region, date, kind, and other criteria. Throughout the complaint life-cycle, the user is kept up to date on the status of the issue, ensuring that problems are resolved. The system is transparent because administrators can use this data as proof of work during elections, allowing end-users, i.e. rural residents, to choose the proper leaders for their region who will not only listen to their issues but also handle them in a reasonable timeframe.