Environmental-Monitoring-and-Pollution-Prediction-System
PublicBuilt a pipeline to manage real-time environmental data using DVC, developed a time-series model (LSTM) with MLflow to predict pollution trends, and deployed the best model as an API using Flask. Implemented live data testing with continuous monitoring using Grafana and Prometheus, enabling real-time performance tracking and system optimization.