Jeevan Setu

Predicting Patient Surges,Saving Lives

A multi-agent AI system that forecasts patient surges and optimizes hospital operations using cultural, environmental, and epidemic data.

AI-Powered Intelligence

Multi-Agent Ecosystem

Seven specialized AI agents working in harmony to predict, optimize, and safeguard hospital operations

Festival & Event Forecaster

Predicts patient influx during cultural festivals and major events using historical admission patterns and regional calendars.

Pollution & Climate Health Risk

Monitors air quality indices and seasonal variations to forecast respiratory and cardiovascular admission spikes.

Epidemic Surveillance

Tracks disease outbreaks and epidemic trends to anticipate surge in infectious disease cases and emergency admissions.

Staffing Optimizer

Analyzes predicted patient load to recommend optimal staff allocation across departments and shifts.

Supply Chain & Inventory

Forecasts medical supply requirements based on predicted patient volumes and historical consumption patterns.

Patient Advisory & Communication

Generates proactive health advisories and communication strategies for at-risk populations during surge periods.

Central Orchestrator

Coordinates all specialized agents, synthesizes forecasts, and generates unified actionable insights for hospital management.

Data Foundation

Comprehensive Data Sources

Rich datasets powering accurate predictions and actionable insights

festival_admissions.csv

12,450 records

Historical patient admission data correlated with cultural festivals and events

pollution_health_data.csv

8,320 records

Air quality indices, seasonal patterns, and respiratory health admission trends

epidemic_data.csv

6,780 records

Disease outbreak tracking, infection rates, and epidemic-related admissions

staffing_data.csv

4,560 records

Staff availability, shift patterns, and departmental resource allocation

inventory_data.csv

15,230 records

Medical supply consumption rates, stock levels, and procurement patterns

System Workflow

How It Works

A streamlined four-step process from data collection to actionable insights

Collect & Integrate Data

Aggregate data from multiple sources including festival calendars, pollution indices, epidemic surveillance, staffing records, and inventory systems.

Multi-Agent Forecasting

Each specialized AI agent analyzes its domain to generate independent forecasts for patient surges, health risks, and resource requirements.

Optimization & Recommendations

The Central Orchestrator synthesizes all agent insights to optimize staffing, inventory, and operational workflows for predicted surge scenarios.

Actionable Reports & Advisories

Generate comprehensive reports for hospital management and proactive health advisories for at-risk populations to minimize surge impact.

Ready to Explore?

Dive into the codebase, explore the multi-agent architecture, and discover how AI can transform hospital preparedness.