PriceScout Database Development

GigEfx Labs is seeking to enhance its price scouting application by developing a robust product pricing database. The current challenge is to efficiently collect, organize, and store pricing data from various online retailers to provide users with accurate and timely shopping intelligence. The goal of this project is to create a centralized database that can be easily updated and queried to support the application's functionality. This project will allow learners to apply their knowledge of database design, data collection methods, and data management. The team will focus on creating a schema that supports efficient data retrieval and ensures data integrity. By the end of the project, the database should be capable of integrating with the existing application infrastructure.

Quantum-Enhanced Waste Transformation System

GigEfx Laboratories aims to revolutionize waste management by developing a paper-based material engineering system that leverages quantum simulation, artificial intelligence, and Flash Joule Heating technology. The goal is to upcycle waste into sophisticated nanomaterials such as graphene, phosphorene, and nanodiamonds. This innovative approach not only addresses environmental concerns but also sets the groundwork for long-term development in material science. The project will explore cutting-edge applications for these nanomaterials, potentially improving various sectors such as electronics, energy storage, and biomedicine. By integrating advanced technologies, the project seeks to create a sustainable and efficient method for waste conversion, contributing to a circular economy. - Develop a system using quantum simulation, AI, and Flash Joule Heating. - Transform waste into nanomaterials like graphene and nanodiamonds. - Explore applications in electronics, energy, and biomedicine. - Contribute to sustainable waste management and circular economy.

CareConnect Documentation Enhancement

GigEfx Laboratories is seeking to enhance the documentation for its innovative AI-enabled app, HBC, which connects terminally ill patients, senior citizens, and children needing care with vetted home care professionals. The app offers a unique feature that allows users to anticipate future care needs by pre-purchasing services across various tiers, including an emergency function. The goal of this project is to develop comprehensive ancillary documentation using low code or no code tools. This documentation will include a detailed business strategy, as well as Software Development Life Cycle (SDLC), UI/UX designs, Business Process Model and Notation (BPMN), and Decision Model and Notation (DMN) diagrams. By providing clear and structured documentation, the project aims to facilitate better understanding and implementation of the app's features, ensuring a seamless user experience and efficient service delivery.

WildTrack Software Documentation and Design Project

The WildTrack Software Documentation and Design Project aims to provide comprehensive software-related documentation for an animal monitoring program named WildTrack. The project focuses on defining the software development life cycle (SDLC) and creating UML documents, including structural and behavioral diagrams, to envision the app's architecture. Students will have the opportunity to apply their classroom knowledge by defining software requirements, modeling software design and functionality, and creating a detailed software specification document. The project encourages collaboration and communication among team members, simulating a real-world software development environment. By engaging in this project, students will enhance their skills in software documentation, design, and validation, preparing them for future roles in the software industry.