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Intelligent Digital Communications

Intelligent Digital Communications, a Georgia Tech VIP project, focuses on revolutionizing the way we utilize spectrum and smart devices like smartphones and tablets. By leveraging Machine Learning, Signal Processing and Communications, and Software Defined Radios/Networks, this project aims to enhance spectrum utilization and develop intelligent mechanisms for debugging, monitoring, policing, and improving wireless communications. The use of Cognitive Systems, Embedded Systems, and FPGAs plays a crucial role in achieving these goals. Additionally, integrating technologies from L3Harris Technologies and Cisco Systems, along with the innovative use of drones, allows for advanced solutions and unprecedented flexibility in spectrum usage and device interaction.

ScholarSync

ScholarSync is a dynamic startup that enables researchers to find opportunities in their field by matching students with professors. It will use PostgreSQL to manage user data and Django to handle everything from registration to profile creation. On the front end, React and Bootstrap work together to create a sleek and intuitive interface, making it easy for users to browse profiles and send invitations. Figma was utilized to design a prototype, ensuring a smooth and seamless user experience. For email notifications, ScholarSync integrates with Mailgun, and even has a real-time messaging system built-in with Socket.IO, keeping users connected and engaged.

Spotify Wrapped 2.0

This Android application is all about enhancing the Spotify experience. It uses Kotlin to let users view their top artists and songs directly from their Spotify profile, thanks to the Spotify Developer API. For handling user authentication and database storage, Firebase comes into play. The app also features an interactive chatbot developed with OpenAI's ChatGPT API, which predicts similar songs and artists, making the user experience even more engaging and personalized.

Sustainable Travel Planner

Sustainable Travel Planner is a comprehensive website designed to help users plan sustainable vacations based on their chosen country, interests, and budget. It leverages Google Maps web scraping to gather detailed information on living accommodations, restaurants, and recreational activities. The project emphasizes a seamless UI/UX, utilizing React and Bootstrap on the front end. For backend development and data management, Node.js and MongoDB are employed, ensuring efficient and reliable performance. This planner allows users to effortlessly design eco-friendly trips tailored to their preferences and financial considerations.

Health, Fitness, and Nutrition Tracker

Health, Fitness, and Nutrition Tracker is a personalized website designed to help users monitor their health, fitness, and nutrition progress. Utilizing Figma, the site offers an intuitive interface to visualize past, current, and future progress aligned with user goals and Apple Watch statistics through the Apple HealthKit API. For secure data synchronization, OAuth 2.0 is implemented, and PayPal is used for payment processing, ensuring a seamless and secure user experience.

Quantum Cryptosystem Data Transit

This secure and reliable Quantum Cryptosystem is an innovative project focused on advancing quantum cryptography. Designed using IBM's Quantum Machines, this novel cryptosystem is 70% safer than the industry standard. It has been recognized by prestigious organizations including the CIA, Amazon, IEEE, and The Aerospace Corporation. This project was 1 of 24 countywide projects selected for the national RSEF Competition, showcasing its significance and potential in the field of secure information transfer.

Malicious Apps on Google Play

Detection of Malicious Apps on Google Play is a cutting-edge project aimed at making the Google Play store safer for users by leveraging machine learning. By utilizing Python and TensorFlow, we developed and trained sophisticated models to effectively detect and flag malicious applications, resulting in an 86% improvement in platform integrity. To enhance the detection process, the project incorporated Natural Language Processing (NLP) with Keras and Scikit-learn, analyzing user reviews and app permissions for suspicious activity. This comprehensive approach ensures that users can enjoy a more secure app environment, making the Google Play store a safer place for everyone.

Biodiversity Analysis of Farmland

The Comparative Biodiversity Analysis of Farmland Post-Secondary Succession project leverages machine learning to analyze biodiversity across nine plots at Blandy Experimental Farm after secondary succession events in 2003, 2005, and 2009. Using Python, Pandas, and Scikit-learn, the project employed Random Forest algorithms to compare datasets from these years. Visualization tools like Matplotlib and Seaborn provided clear insights into biodiversity trends, enhancing our understanding of succession impacts on farmland ecosystems. Biodiversity was assessed using the Shannon-Wiener Diversity Index, and statistical differences were also evaluated with the Kruskal-Wallis nonparametric test.

Radon Levels in Basement Homes

Analyzing the Relationship between Radon Levels in Homes and their Proximity to Water Wells is a detailed project that investigates how radon concentrations in home basements correlate with their proximity to water bodies. Utilizing ArcGIS for precise mapping and spatial analysis, the study integrated radon measurement datasets and geographic locations of homes with basements and water wells. Statistical analysis using R employed correlation and regression techniques to explore the relationship. Visualization tools like Tableau and Matplotlib created detailed maps and graphs, providing clear insights into the spatial distribution of radon levels, emphasizing the potential health risks associated with radon exposure.

For more details about the project, visit the STORY MAP.