Graphene-Based GPRS Sensor for Smart Farming

GigEfx Laboratories is pioneering the development of an innovative GPRS-enabled graphene sensor designed to revolutionize animal health monitoring and environmental management in farming. The project aims to create a prototype sensor that can accurately track animal movement, monitor vital health indicators, and optimize environmental conditions. By integrating advanced graphene technology, the sensor promises enhanced sensitivity and durability, making it ideal for the demanding conditions of agricultural environments. The project will involve researching existing sensor technologies, designing a prototype, and testing its functionality in simulated farm conditions. This initiative will provide learners with the opportunity to apply their knowledge of materials science, electronics, and data analysis to a real-world agricultural challenge.

E-Supermarket SDLC Documentation and Design

GigEfx Labs is seeking to develop a comprehensive Software Development Life Cycle (SDLC) documentation suite for an upcoming E-Supermarket web application called SmartCart. The project aims to bridge the gap between business objectives and technical execution by analyzing existing business documents to extract and define software requirements. Learners will engage in modeling software design and functionality using Unified Modeling Language (UML), which will help in visualizing the system architecture and interactions. The project will also involve developing a detailed software specification document that outlines the functional and non-functional requirements of the application. Additionally, learners will be tasked with verifying and validating the software requirements and design to ensure alignment with business goals and user needs. This project provides an opportunity to apply classroom knowledge of software engineering principles in a real-world context, focusing on requirement analysis, design modeling, and documentation.

Doekon MVP and Technical Documentation Development

GigEfx Laboratories is seeking to develop a low fidelity minimum viable product (MVP) for Doekon, an AI-enabled patient diagnostic application. This innovative mobile solution aims to revolutionize healthcare delivery by facilitating in-home treatment and connecting patients with medical specialist based on the app's recommendations. The project involves creating ancillary technical documentation to support the development and future iterations of the application. The goal is to provide a foundational prototype that demonstrates the core functionalities of Doekon, such as patient diagnostics and doctor-patient connectivity, while ensuring that the technical documentation is comprehensive and user-friendly. This project will allow learners to apply their knowledge of mobile application development, AI integration, and technical writing, providing a practical experience in the healthcare technology sector.

Graphene Production Optimization using Flash Joule Heating

GigEfx Laboratories is exploring innovative methods to scale up the production of graphene, a material with exceptional electrical, thermal, and mechanical properties. The company is particularly interested in utilizing flash joule heating, a rapid and energy-efficient process, to achieve this goal. The project aims to investigate the feasibility of producing one ton of graphene using this method. Learners will apply their knowledge of materials science and chemical engineering to analyze the current process, identify potential bottlenecks, and propose optimizations. The project will involve a series of experiments and simulations to test different parameters and conditions that could enhance the efficiency and yield of the flash joule heating process. By the end of the project, the team should have a clear understanding of the scalability of this method and provide recommendations for further development.