A Flask web app deployed and uses built Regression model to predict an individual's likelihood to seek mental healthcare treatament.

A Machine Learning solution to predicting the outcome of an English Premier League match

Market price indicator - book depth and global volume

Database for Materials

TOP 🏆 WINNING FOOTBALL 🏆 TEAMS

This repository contains the React-based frontend of the House Price Prediction system. It serves as a user interface for entering property details such as bedrooms, bathrooms, square footage, and other features. The frontend interacts with the backend API to provide real-time predictions and visualize data dynamically.

Using Linear Regression to identify drivers for Airbnb Pricing in Asheville, NC

Machine Data Hub Web App

A predictive modelling for nutritional diet

Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.

A repository to develop predictive-modelling using backpropagation neural network and image analysis

We accept donations through KatyaAI and forward a portion of the donations to other open-source projects that made Prophet possible.

A system that uses predictive modeling to predict queue trends based on historical data.

Model for predicting growth of COVID-19 infections in India

🚦 A Flask web application that uses a neural network (queryNN) to predict traffic light changes based on real-time car data at an intersection.

This project focuses on enhancing biomass management efficiency through advanced AI and time series analysis for accurate prediction. The platform utilizes React Native for the frontend, Node.js and Express.js for the backend, MongoDB as the database, and incorporates additional technology with Python.

ML knowledge in byte-sized flashcards

PhenoPredict is an advanced application that analyzes genetic data and images to provide insights into an individual’s appearance, behavioral traits, ancestry, and potential health risks.

Hackathon Code Stage 2020 - Hitboard

Land Image-Data Assessment, or LIDA. A first exploration from a class research in pixel-level machine learning on tagged format images showing land-use classifications.