laboratory-radiology

Development of a Machine Learning-Based Laboratory System Using Python

This project involves the development of a comprehensive laboratory system utilizing Python and machine learning algorithms. The system is designed to analyze medical test results, interpret their readings, and assist in diagnosing potential diseases.

Key features of the project include:

•Machine Learning Integration: Building predictive models to analyze test data and provide accurate interpretations for various medical tests.

•Automated Diagnosis: Using AI algorithms to detect patterns in test results and suggest possible conditions or diseases.

•Web-Based Laboratory Platform: Creating a fully functional website for the laboratory, allowing users to:

•Book appointments.

•Submit test samples.

•View and download results.

•Receive analysis reports with AI-driven insights.

This project aims to streamline laboratory operations, improve diagnostic accuracy, and provide an intuitive platform for both medical professionals and patients.