Developed a Heart Disease Prediction system utilizing Python and Pandas for robust backend data processing, alongside React and Tailwind for a sleek and responsive frontend. This system leverages advanced data analysis to predict heart disease risk, providing an intuitive user interface for seamless interaction

Soccer matches result prediction with Bayesian Networks in R.

Footballer potential predict model deployment with django

A mobile app (iOS & Android) build with Expo for displaying the results of a DSS model based on the Alzheimer's disease.

Frontend for heart disease prediction.Model built using Logistic Regression and dataset from Kaggle.Frontend developed in React.Checkout the backend part from the README Section.

A web application use machine learning method to predict the electricity consumption data

This repository contains a machine learning model to predict the winner of the IPL 2024 season, along with a user-friendly web application for inputting match details and viewing predictions.

A Nodejs server that enables you train, publish and predict a custom vision model that can recognize landmarks on Azure

Modeling epidemic using bayesian Bayesian inference and SEIR+ model

11/09/2020 - Complete directory for Pundits Review web application. https://www.punditsreview.com/

REST API for reading and writing data to Microsoft SQL Server

basic and simple General Regression Neural Network for NodeJS

Educational predictions on stock market with Tensorflow.js sequential RNN with LSTM layers on a React web App.

Smart Health Predictor with Data Mining using Php, Mysql. Which can predict the disease based on Input Symptoms and Lab Sample.