My Project
Emotion Detection GETLINK
The Emotion Detection System is an AI-driven application that identifies human emotions from facial expressions and voice tones using machine learning algorithms. It features real-time processing, a user-friendly interface, and applications in customer service, healthcare, and human-computer interaction, showcasing expertise in computer vision and natural language processing.
Heart Disease Diagnostic AnalysisGETLINK
This project leverages machine learning to predict heart disease, analyzing patient data to identify critical risk factors. Through data preprocessing, feature engineering, and model evaluation, the project aims to enhance diagnostic accuracy and support medical professionals in early detection and treatment planning.
Data Visualization of Bird Strikes between 2000 – 2011 GETLINK
This project analyzes bird strike incidents, identifying trends, financial impacts, and key risk factors. Visualizations highlight affected airlines, airports, altitudes, and flight phases to enhance aviation safety and mitigate future risks.
Hospital: Work and Leeds analysis GETLINK
This project investigates hospital workflow and patient experiences in Leeds, utilizing data analytics to optimize operational efficiency and enhance patient care. By identifying bottlenecks and improving resource allocation, the analysis aims to elevate healthcare delivery and outcomes in the Leeds community.
