Digital Twin Creation for Architectural Spaces

The project involves developing an advanced measurement and drafting module for Quote Kong Ltd, aimed at enhancing their application with cutting-edge computer vision technology. The primary goal is to integrate a guided photogrammetry workflow that processes user-captured wall photos. This system will utilize a custom-trained model to accurately identify architectural and utility features within the images. By synthesizing this visual data with user-provided dimensions, either manually or via Bluetooth laser input, the project seeks to generate precise 2D wall elevations and a comprehensive top-down floor plan. This digital twin will serve as a foundational tool for subsequent design, estimating, and project management tasks, streamlining the workflow and improving accuracy in architectural planning.

AI-Powered Gantt Chart Generator

The construction industry often faces challenges in project scheduling, which can be time-consuming and prone to errors. Quote Kong Ltd aims to revolutionize this process by developing an AI-driven solution that leverages Google's Gemini AI to automate the creation of Gantt charts. This project focuses on transforming a traditionally labor-intensive task into an efficient, one-click solution, significantly reducing the time and effort required for project planning. The goal is to enable construction companies across North America to streamline their scheduling processes, enhancing productivity and accuracy. By integrating AI technology, the project seeks to provide a user-friendly tool that simplifies complex scheduling tasks, making it accessible even to those with limited technical expertise. - Understand the current challenges in project scheduling within the construction industry. - Research and integrate Google's Gemini AI capabilities for automating Gantt chart creation. - Develop a prototype that demonstrates the one-click generation of Gantt charts. - Ensure the solution is user-friendly and adaptable to various construction project requirements.

Review and restructure Cloud Architecture within Google Cloud

We are using Google Cloud Platform (GCP). Happy to accommodate a team trained on AWS/Azure if your team is happy to step up and learn GCP. Is this within your scope? We are using GCP badly in many ways. Examples: No VPC, many problematic development processes, poor DB update process (MySQL), security holes, poor API design. Our problems span infrastructure, development and product design. Goal: with a primary focus on cloud infrastructure, review and then reorganize our development system toward today's best practices.

Data Analysis - residential construction materials

3 students We’d like students to help analyze complex material data and come up with recommendations on how to integrate From this analysis, we hope to not only improve our processes and understanding but also gain insights that will greatly enhance our strategy. These insights will be directly related to business outcomes. Here are some of the topics we’d like students to explore throughout this project: Develop more sophisticated pricing models Understand the interplay between other data sets and how to best integrated it into Quote Kong's data sets