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.

LinkedIn Profile Image Caching System

The project aims to address the issue of expired LinkedIn profile images for users logging into LetsPopIn.com. Currently, when users log in, the system retrieves their original LinkedIn profile image. However, these images can expire over time, leading to a lack of display on the platform. To solve this problem, the project involves creating a caching system that stores these images in a cloud storage bucket for easy retrieval. This will ensure that users' profile images are consistently displayed, enhancing the user experience. The project will involve understanding the LinkedIn API, implementing a caching mechanism, and integrating cloud storage solutions. The goal is to create a reliable and efficient system that automatically updates and retrieves profile images as needed.

PopIn Website Enhancement

LetsPopIn.com is seeking to enhance its online presence by improving the functionality and user experience of its website, PopIn. The current website lacks certain features that could improve user engagement and streamline navigation. The goal of this project is to redesign specific sections of the website to make it more user-friendly and visually appealing. This involves updating the website's layout, enhancing the mobile responsiveness, and integrating interactive elements that align with the brand's identity. The project will provide learners with the opportunity to apply their knowledge of web development, user interface design, and responsive design principles. By the end of the project, the website should offer a seamless experience for users, encouraging more frequent visits and interactions.

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.