Governments are increasingly looking to utilize data to enhance public service delivery and address citizen needs more effectively. Traditional methods of collecting citizen feedback are often slow and limited in scope. This project focuses on developing a comprehensive data analytics platform that consolidates multiple data sources to analyze citizen feedback. By leveraging advanced analytics, the platform will generate actionable insights, enabling government agencies to respond proactively to public concerns and enhance service quality and citizen engagement.
Week 1-2: Initial Planning and Requirement Analysis
Define project objective and scope, and high-level requirements
Gather data and resources needed Week 3-4: Design Phase
Designing system architecture and data flow
Interface wireframes and mockups of the Dashboard Creation Week 5-6: Collection and Integration
Setting up data sources and development pipelines to process data
Ensure data quality and consistency Week 7-8: Analytics Modeling
Apply data analytics and machine learning models
Train and validate models with collected data Week 9-10: Dashboard Development
Develop a dashboard to show insights and trends
Ensure the dashboard is user-friendly and accessible Week 11-12: Testing and Refinement Phase
Extensive testing to ensure functionality and usability
System optimization based on performance metrics and user feedback
Presentations from students about their reports
