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.

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.

ESG Investment Risk and ROI Modeling

GigEfx Laboratories is seeking to enhance its appeal to global investors by developing robust models that assess the financial risk and return on investment (ROI) of Environmental, Social, and Governance (ESG) investments across various global markets. The project aims to provide a comprehensive analysis of ESG factors and their impact on financial performance, enabling GigEfx Laboratories to position itself as a viable and attractive investment opportunity. Learners will apply their classroom knowledge of financial modeling, risk assessment, and ESG criteria to create models that can predict potential financial outcomes. The project will involve analyzing data, identifying key ESG indicators, and developing predictive models that align with global investment standards. This project provides an opportunity for learners to engage with real-world financial challenges and contribute to GigEfx Laboratories' strategic investment readiness.

SmartCart Personalized Recommendation Engine Development

The project aims to develop technical documentation and a prototype for a personalized recommendation engine for SmartCart, an e-commerce platform. The goal is to enhance user experience by providing tailored product suggestions based on user behavior and preferences. This project will allow learners to apply their knowledge of user interface/user experience (UI/UX) design, Unified Modeling Language (UML), and Software Development Life Cycle (SDLC) principles. The team will analyze current market trends and user data to design a recommendation system that can be seamlessly integrated into the existing SmartCart platform. By focusing on creating a user-friendly interface and robust backend logic, the project will help bridge the gap between theoretical knowledge and practical application in a real-world scenario.