Data Visualization for Business Insights

Ptarium is seeking to enhance its ability to communicate business challenges through effective data visualization. The project involves using data extraction, transformation, and preparation techniques to convert raw data into meaningful insights. The goal is to create visual tools that can clearly convey complex business issues to stakeholders. This project will allow learners to apply their knowledge of data processing and visualization tools, such as Python, R, or Tableau, to real-world business scenarios. The tasks include identifying key data sources, cleaning and preparing data, and designing interactive dashboards or visual reports. The project aims to improve decision-making processes by presenting data in an accessible and understandable format.

AI-Powered E-Supermarket Platform for Local Vendors

GigEfx Labs aims to empower small-time local vendors by developing an AI/ML-powered commodity market integrated into their e-supermarket platform. The project seeks to create a user-friendly digital marketplace where local vendors can easily list and sell their products. The platform will leverage AI/ML algorithms to optimize product listings, enhance search functionality, and provide personalized recommendations to users. This initiative will help local vendors reach a broader audience and increase their sales potential. The project will focus on creating a seamless vendor onboarding process, ensuring data privacy, and maintaining a secure transaction environment. By applying classroom knowledge of AI/ML and e-commerce systems, learners will contribute to a meaningful project that supports local economies.

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.