This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.

this repository contains main project of Rahnema college machine learning bootcamp

this repository contains main project of Rahnema college machine learning bootcamp

Integrated real-time data analytics for optimized public transport, innovative road monitoring using demand prediction, and conditioning tech for sustainability, real time pothole detection either by image or video, smart parking count system for efficiency using AI/ML.

Integrated real-time data analytics for optimized public transport, innovative road monitoring using demand prediction, and conditioning tech for sustainability, real time pothole detection either by image or video, smart parking count system for efficiency using AI/ML.

A spare engine placement generator based on a Finite-Horizon Markov Decision Process

A spare engine placement generator based on a Finite-Horizon Markov Decision Process

This repository contains an Excel-based dataset of original daily/monthly sales data intended for use in time series forecasting tasks. The dataset is suitable for training LSTM (Long Short-Term Memory) models and benchmarking forecasting performance.

This repository contains an Excel-based dataset of original daily/monthly sales data intended for use in time series forecasting tasks. The dataset is suitable for training LSTM (Long Short-Term Memory) models and benchmarking forecasting performance.

TimeSeries Analysis in R

Using machine learning methods to predict demand for bike sharing.

An AI-based inventory optimization system that leverages machine learning to predict demand, recommend menu items, and streamline stock management for restaurants and food service businesses.. — all deployed through a real-time Stream lit web app.

Using machine learning methods to predict demand for bike sharing.

An AI-based inventory optimization system that leverages machine learning to predict demand, recommend menu items, and streamline stock management for restaurants and food service businesses.. — all deployed through a real-time Stream lit web app.