Customer Behavior Analysis for Electric Vehicle Adaption
The purpose of this project is to understand the issues in the adoption of electric vehicles in Washington city.
We help the marketers to resolve the issues facing for the adoption of the electric vehicles, With our predictive models and advanced machine learning algorithms.
The purpose of this project is to analyze and predict Dogecoin price trends using advanced deep learning techniques. By leveraging historical market data and LSTM models, we aim to assist traders and investors in making informed decisions while addressing the challenges of cryptocurrency market volatility.
The purpose of this project was to analyze sales data, identify revenue trends across various demographics and regions, and provide strategic recommendations to optimize sales performance.
We help sales and marketers to enhance sales performance by identifying key revenue drivers and optimizing marketing strategies based on data insights.
The purpose of this project is to analyze safety violations recorded by the New York City Department of Buildings, identify patterns and trends, and predict future violations using machine learning models.
The goal is to provide actionable insights and recommendations to improve safety compliance and reduce the occurrence of violations.
Smart city guide is a web-based software to help tourists and visitors by providing information like hotels, transportation, tickets booking, shopping details & city news.
This project serves the visitors as a guide of the city.