Big Data Analytics Platform and Tools for Epidemic Forecasting and Mitigation

The objective of this project is to design, develop, and implement an advanced big data analytics framework and toolset for real-time epidemic forecasting and management. Leveraging state-of-the-art artificial intelligence (AI) algorithms and comprehensive data analysis techniques, the platform aims to enhance public health decision-making by accurately predicting disease outbreaks and their progression. The key components of the project include:
• Design and Development of AI-Driven Big Data Analytics Platform – A robust framework integrating diverse data sources for real-time analysis and predictive modeling.
• Design and Development of Disease Surveillance Dashboard – An interactive application featuring a Kerala-specific map for real-time visualization and monitoring of disease trends.
• Design and Development of Disease Modeling Application – A tool for simulating and analyzing disease transmission dynamics using AI-powered models.
• Design and Development of Disease Forecasting Application – A predictive analytics system for forecasting disease outbreaks and their potential impact.
• Design and Development of API for Research Access – A dedicated API enabling researchers to access AI models and analytical frameworks for further studies and applications
• Epidemic Forecasting Centre : Deployment of the AI-Driven Big Data Analytics Platform, Disease Surveillance Dashboard, Disease Modelling and Forecasting Application for epidemic management and mitigation and API for Researchers for facilitating research.