Real Time Mapping of Epidemic Spread
Objective
The objective is to create an integrated healthcare platform that optimizes pandemic response. Incorporating mathematical modeling and machine learning, the system empowers doctors to efficiently manage appointments and input epidemic-related data. Patients can easily register, book appointments, track statuses, and update their recovery status. The dashboard offers a comprehensive view of epidemic details with day and month-wise filtering, accompanied by downloadable patient information and graphical representations for informed decision-making. This platform aims to streamline healthcare management, fostering a proactive, data-driven approach to epidemic control and patient care.
Abstract
This integrated healthcare platform offers a robust system for doctors and patients. Doctors can efficiently manage appointments, accepting or rejecting them, and input epidemic-related data. Patients can register, book appointments, track their status, and update their recovery status. The dashboard provides a comprehensive overview of epidemic disease details, allowing day and month-wise filtering. Users can download patient details and access graphical representations of epidemic cases and recovery rates for informed decision-making. This streamlined approach combines mathematical modeling and machine learning with practical healthcare management, fostering a proactive and data-driven response to epidemics.
Keywords: Healthcare Modules, Admin, Doctor epidemic disease.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
H/W CONFIGURATION:
Processor - I3/Intel Processor
Hard Disk - 160GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
RAM - 8GB
S/W CONFIGURATION:
• Operating System : Windows 7/8/10
• Server side Script : HTML, CSS, Bootstrap & JS
• Programming Language : Python
• Libraries : Flask, Pandas, Mysql.connector, Os, Smtplib, Numpy
• IDE/Workbench : PyCharm
• Technology : Python 3.6+
• Server Deployment : Xampp Server
Related Projects
Paper Publishing
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