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Provides environment stacks and deployment pipeline processes for Summit

Full independent Python implementation of LIN assignment

Project that syncs Flux v2 components (GitRepository and Receivers) with GitLab (Deploy Keys and Webhooks)

Provides trusted proxies for localhost development using the localhost.devcom.vt.edu namespace

The D.C. Crime Insights Application is a comprehensive platform designed to provide daily updated and historical crime data, helping users make informed safety decisions. It integrates advanced analytics, machine learning, and natural language processing (NLP) to offer intuitive and personalized crime reporting and safety features.

With growing concerns about public safety, existing crime data tools often lack accessibility, timely updates, and user-friendly interfaces. Our application bridges the gap by leveraging open-source data from federal and local agencies, advanced analytics, and user-centric design to deliver actionable safety insights.

This project involves developing an AI-powered Open-Source Intelligence (OSINT) platform to detect and combat misinformation on social media. It uses machine learning, NLP, and computer vision techniques to analyze textual and visual content, providing real-time alerts and insights to enhance public trust.

Full independent Python implementation of LIN assignment