LinkedIn Data-Driven Event Attendee Profiling

We aim to enhance the networking experience at PopIn events by leveraging LinkedIn data to create detailed attendee profiles. The goal is to provide event participants with insights into fellow attendees, facilitating more meaningful connections. This project involves extracting and analyzing LinkedIn data to generate comprehensive profiles that highlight professional backgrounds, skills, and interests. By doing so, we seek to improve the overall engagement and satisfaction of event attendees. The project will require learners to apply their knowledge of data analysis, data privacy considerations, and profile creation techniques. The tasks will include data extraction, data cleaning, and profile generation, all of which are closely related and manageable within the given timeframe.

AI-Driven Event Matcher

LetsPopIn.com aims to enhance user experience by implementing an AI-based event matching system for users to events and with other users at that event. The current challenge is to efficiently connect users with events that align with their interests and preferences and matching them with others present. The goal of this project is to develop a prototype algorithm that can analyze user data and event characteristics to provide personalized event recommendations. This will involve understanding user behavior, preferences, and historical data to create a model that predicts the best event matches. The project will allow learners to apply their knowledge of machine learning, data analysis, and algorithm development. The tasks will include data collection, feature engineering, model training, and evaluation. The project is designed to be completed by a team of learners specializing in data science or computer science within a single academic program.

AI-Powered Grant Proposal Assistant

FindGrant aims to streamline the grant proposal writing process by developing an AI-powered tool that assists users in crafting compelling and effective grant proposals. The project involves creating a prototype of an AI tool that can analyze grant requirements, suggest relevant content, and provide feedback on proposal drafts. The tool should leverage natural language processing (NLP) to understand and generate human-like text, making it easier for users to articulate their ideas clearly and persuasively. The goal is to reduce the time and effort required in writing grant proposals while increasing the chances of success. The project will focus on integrating AI capabilities with user-friendly interfaces to ensure accessibility for users with varying levels of technical expertise. Key tasks include: - Researching existing AI tools and techniques for natural language processing. - Designing a user interface that is intuitive and easy to navigate. - Developing algorithms that can analyze and generate text based on grant requirements. - Testing the prototype with sample grant proposals to evaluate its effectiveness.

Mobile App publishing to iOS and Android

LetsPopIn.com aims to enhance user engagement by publishing a mobile application that complements its existing web platform. The goal of this project is to publish PopIn mobile app currently built on React/Expo to all the app stores, The published app should allow users to easily access PopIn's core features, such as event discovery while maintaining a consistent brand experience. The project will involve testing key functionalities, and ensuring compatibility with both iOS and Android platforms. By the end of the project, learners will have applied their knowledge of mobile app development, user experience design, and cross-platform compatibility to create a functional prototype that aligns with LetsPopIn.com's objectives. - Ensure cross-platform compatibility for iOS and Android. - Conduct user testing to gather feedback and make necessary improvements.