Rent Price Prediction Model Development

Earlybuild GmbH is seeking to enhance its capabilities in predicting rental prices using advanced data analytics. The goal of this project is to develop a predictive model that accurately forecasts rental prices based on historical data and relevant market indicators. This project will allow learners to apply their knowledge of data analytics, machine learning, and statistical modeling. The team will work with a dataset provided by Earlybuild GmbH, which includes historical rental prices, property features, and economic indicators. The project will involve data cleaning, exploratory data analysis, feature engineering, model selection, and evaluation. The learners will gain hands-on experience in applying classroom knowledge to a real-world problem, enhancing their skills in data-driven decision-making.

Real Estate Site Due Diligence Dashboard: A Data-Driven Decision Support Tool

Develop a data-driven dashboard that enables real estate developers to perform site due diligence efficiently. Integrate multiple data sources (e.g., zoning regulations, demographic data, market trends, and environmental factors) into a unified real-time decision-making tool. Utilize predictive modeling and data visualization to assess property investment potential and risk factors. Provide actionable insights for real estate developers, helping them make informed site selection decisions.

Competitive Research and Usability Studies for Real Estate SaaS Platform

The main goal for the project is to conduct competitive research and usability studies of Earlybuild GmbH's real estate software as a service platform for site analysis and feasibility studies. This will involve understanding the market landscape, identifying strengths and weaknesses of the platform, and providing recommendations for improvements to enhance user experience and functionality.

Costing and Sustainability for Buildings Project

The main goal for the project is to utilize artificial intelligence and building information modeling to develop a system that accurately calculates the costing and sustainability of buildings. This will involve analyzing various data points related to construction materials, energy usage, and environmental impact to provide accurate cost estimates and sustainability ratings for different building projects.