RealityForge

**RealityTrace — AI-Powered Video Understanding & Safety Intelligence** RealityTrace transforms video footage from passive recordings into searchable, evidence-backed intelligence using multimodal AI. Traditional CCTV and video systems require users to manually review hours of footage to find specific events. Existing search capabilities often rely on timestamps, motion detection, or predefined categories, making it difficult to identify complex activities and understand their context. RealityTrace addresses this challenge through natural-language video investigation and proactive safety monitoring. **Investigate** enables users to search video footage using everyday language. Users can describe an activity, such as someone carrying and placing an object, and RealityTrace retrieves relevant moments with timestamps, visual evidence, and video playback. Its multi-agent investigation pipeline coordinates eight specialized AI agents to interpret queries, analyze observations, correlate evidence, and generate structured investigation results. **Guardian** focuses on proactive safety intelligence. It analyzes video streams to identify potential hazards and relevant safety situations, presenting contextual alerts with supporting visual evidence. Guardian helps users understand what may require attention while keeping human review central to decision-making. **Powered by Meta AI** Meta Muse Spark models power natural-language understanding, visual interpretation, and investigation reasoning. Rather than relying on a single AI response, RealityTrace integrates Meta AI into a coordinated workflow where specialized agents analyze retrieved evidence. The application manages video processing, indexing, retrieval, timestamps, orchestration, and playback. **Technology Stack:** Meta Muse Spark, FastAPI, Python, Next.js, and multimodal video-processing workflows. **Innovation and Impact** RealityTrace combines semantic video search, evidence retrieval, multi-agent reasoning, and safety monitoring in one platform. It makes video footage easier to investigate, understand, and verify without requiring users to manually watch entire recordings. Potential applications include residential safety, workplace monitoring, retail operations, industrial environments, and incident investigation. The platform emphasizes evidence-backed results, contextual alerts, and human oversight rather than unsupported AI conclusions. **Vision** RealityTrace aims to transform video systems from tools that simply record events into intelligent systems that help people understand what happened and identify situations that matter. By combining Meta AI's multimodal reasoning capabilities with practical video retrieval and investigation workflows, RealityTrace demonstrates how AI can make video intelligence more accessible, actionable, and trustworthy.