PythonPyTorchScikit-learnFastAPILangChainCrewAIHealthcare AIMulti-Agent SystemPredictive AnalyticsData PipelinesNLP
- Multi-agent AI platform predicting patient surges and optimizing hospital operations using structured health data, environmental factors, and epidemic trends.
- JeevanSetu is a sophisticated multi-agent AI system built on the crewAI framework. It predicts patient surges and provides actionable recommendations for hospital administrators by analyzing cultural events, environmental data, epidemic trends, and hospital operations.
- Key features: - Festival & Event Forecasting: Predicts patient influx during cultural events using historical admission data. - Environmental & Pollution Risk Analysis: Assesses health risks from AQI and weather data. - Epidemic Surveillance: Monitors infectious disease trends to anticipate hospital load. - Staffing & Resource Optimization: Recommends optimal staffing levels and inventory management strategies. - Patient Communication: Generates advisories in multiple languages and automates notifications. - Central Orchestrator Agent: Integrates all predictions into actionable hospital preparedness reports.
- Built with Python, PyTorch, scikit-learn, FastAPI, LangChain, and data pipelines for real-time predictive analytics. Designed for a connected, data-driven healthcare ecosystem with scalable architecture.