Intelligent Event and Attendee Matching System

We seek to enhance its event management platform by developing an intelligent matching and visualization system. The goal of this project is to create a system that efficiently matches events with attendees, organizers with locations, and attendees with each other based on similar titles and interests. This project will allow learners to apply their knowledge of data analysis, machine learning, and visualization techniques to real-world data. The system should be able to process existing data on events, locations, and attendees to generate meaningful insights and connections. By the end of the project, learners will have developed a prototype that demonstrates the ability to intelligently match and visualize these relationships, providing value to both event organizers and participants.

User Experience Enhancement for LetsPopIn.com

LetsPopIn.com aims to enhance its user experience by improving the design of its platform. The current design may not fully meet user expectations, leading to potential usability issues and decreased user satisfaction. The goal of this project is to identify areas of improvement within the existing design and propose actionable solutions that align with modern design principles. The project will involve analyzing user feedback, conducting usability testing, and researching best practices in user interface design. By focusing on these areas, the team will help LetsPopIn.com create a more intuitive and engaging platform for its users. The project will be completed by a team of learners specializing in user experience design, ensuring that the solutions are both practical and innovative.

Event Data Import Automation for LetsPopIn.com

LetsPopIn.com is seeking to streamline the process of importing event data from Luma into their database. The current challenge involves multiple host calendars publishing events that need to be efficiently imported and organized. The goal of this project is to develop an automated solution using tools like Selenium, Playwright, or Browser Use to extract event data from Luma and import it into the company's database. This project will allow learners to apply their knowledge of web scraping, automation, and database management. By automating this process, LetsPopIn.com aims to enhance data accuracy and reduce manual workload, ultimately improving operational efficiency. The project will involve understanding the structure of Luma's event data, designing a script to automate data extraction, and ensuring seamless integration with the existing database system.

Event Networking System and Visualization

The project aims to develop an AI-driven event matchmaking and visualization engine designed to enhance networking experiences at events. The system will suggest potential connections for attendees based on their goals, roles, and shared topics of interest. By integrating with event data and attendee lists or LinkedIn profiles, the system will provide personalized recommendations. A key feature of the project is the development of a visual cluster map, which will help attendees easily identify and approach potential connections, making networking less awkward and more efficient. This project provides an opportunity for learners to apply their knowledge of AI, data integration, and data visualization to create a practical solution for real-world networking challenges.