Remote Software Development

The development of a Software Application for Image Manipulation specific to a Rendering Production Pipeline. The software is already in development but requires additional resources to address the visual manipulation streaming system through GDI+ Implementation. Some back-end data processing involving various image filtering methods would need to exploited to deliver the final output of the software. Vector system data management will also be a required outcome for the visualizations for 3d Computer Model input exporting various file system formats.

AI-Enhanced Freedom Roadmap

The Clean Divorce aims to enhance its Freedom Roadmap by integrating AI to create an interactive user experience. The current roadmap provides users with a structured guide through the divorce process, but it lacks personalized interaction and adaptability. By incorporating AI, the goal is to offer users a more tailored experience that adapts to their unique situations, providing real-time feedback and guidance. This project will involve analyzing the existing roadmap, identifying areas where AI can add value, and developing a prototype that demonstrates these enhancements. The project will allow learners to apply their knowledge of AI, user experience design, and software development to create a practical solution that aligns with industry needs. - Analyze the existing Freedom Roadmap to identify integration points for AI. - Develop AI algorithms that can provide personalized feedback and guidance. - Design an interactive user interface that enhances user engagement. - Create a prototype demonstrating the AI-enhanced roadmap.

Permit Compliance Prototype Development

Overview Quotograph is seeking to develop a prototype for its new product, PermitX — a solution designed to automate the building permit review process by analyzing blueprints and identifying whether they meet local building codes. This project will focus on creating a working prototype that allows users to upload blueprints, which will then be analyzed against code requirements from a selected jurisdiction. Objective The primary goal of this project is to create an initial version of PermitX that demonstrates the feasibility of automated code compliance checks. The prototype will serve as a proof of concept, helping Quotograph validate the technology before expanding to multiple jurisdictions. Scope of Work Develop a user-friendly web-based interface where users can upload blueprint files (PDF, JPEG, or CAD formats). Implement basic blueprint parsing capabilities to extract relevant architectural elements (e.g., room dimensions, wall structures, electrical layouts). Create a rules engine that checks extracted elements against a set of predefined building codes from one jurisdiction (e.g., Ontario Building Code or a U.S. municipality). Generate a compliance report that highlights potential code violations and provides brief recommendations. Provide backend infrastructure that allows seamless data storage and retrieval of uploaded blueprints and compliance reports. Ensure the prototype works across desktop and mobile web browsers . Deliverables A fully functional prototype with the following features: File upload interface Automated code compliance analysis Downloadable compliance report Simple dashboard for users to track uploads and results Documentation on the system architecture, tools used, and any API integrations. Recommendations for future development and scaling PermitX to support additional jurisdictions and code types. Technology Stack Frontend: React or Wix Velo (depending on feasibility) Backend: Node.js + Express Database: MongoDB or Firebase Code Parsing: OpenCV or Tesseract for OCR Code Validation: Custom rules engine built in Python Outcomes By the end of this project, the PermitX prototype will demonstrate how Quotograph can automate blueprint reviews for code compliance, paving the way for a fully commercialized product that accelerates the permit approval process and reduces manual review times.

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.