Heart disease is a leading cause of mortality worldwide, necessitating the development of effective predictive modelsfor early diagnosis and intervention. This project aims to leverage machine learning (ML) techniques to predict the presence of heart disease in patients based on various clinical and demographic features.

A portfolio website is a curated online space that displays your best work and is a practical way to share it with potential employers, collaborators, or the press. It can be used for job or internship applications.

"Face landmark detection" refers to a computer vision technique that identifies and locates specific key points on a human face, like the corners of the eyes, nose tip, mouth corners, and chin, allowing systems to analyze facial expressions, head pose, and even perform facial recognition by precisely mapping these facial features in an image or video.

Here we will predict the quality of wine on the basis of given features. We use the wine quality dataset available on Internet for free. This dataset has the fundamental features which are responsible for affecting the quality of the wine. By the use of several Machine learning models, we will predict the quality of the wine.

FoodMart is an eCommerce website template for online grocery store services.

Object detection is a computer vision technique that identifies and locates objects in images, videos, or live footage. It's a type of artificial intelligence that uses machine learning or deep learning to train computers to recognize and classify objects.

Parkinson's disease is a progressive brain disorder that causes movement problems, mental health issues, and other health concerns

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