ForeQueue

Project Description

This project is an AI-powered application designed to monitor and predict patient flow in hospitals. The system tracks the number of incoming patients and uses artificial intelligence to forecast when and approximately how many patients are expected in the future.

By analyzing trends and historical data, the application helps hospitals optimize resource allocation, including medical staff schedules, equipment availability, and hospital capacity. This allows healthcare institutions to plan doctors’ shifts, manage vacations more efficiently, and reduce overload during peak periods, ultimately improving the quality of patient care.

What it does

Monitors real-time and historical patient data Uses AI models to predict future patient volume Assists hospitals in planning resources and staff schedules Helps reduce overcrowding and improve operational efficiency

Why it Matters

Hospitals often struggle with unpredictable patient inflow, leading to staff burnout and inefficient use of resources. This solution provides data-driven insights that support smarter decision-making and more sustainable healthcare management.

Built With

• ai
• data-analysis
• forecasting
• machine-learning
• numpy
• pandas
• python
• scikit-learn