VELTRIX

**ReValue AI – AI-Powered E-Waste Visual Triage and Recovery Intelligence** ReValue AI is an AI-assisted e-waste visual triage platform designed to make electronic waste identification, preliminary component classification, and responsible recovery more accessible. Electronic waste contains potentially recoverable components and materials, but identifying and sorting mixed electronic waste can be challenging, time-consuming, and dependent on manual inspection. Our solution allows users to upload an image of electronic waste and receive a structured preliminary analysis containing potential component descriptions, confidence labels, optional normalized bounding-box visualizations, sorting recommendations, recovery suggestions, and safety notes. The platform is built using Python and Flask, with an optional vision-model integration architecture designed to support Meta's Muse Spark through the Meta Model API. Key features include: - E-waste image upload and preview. - Structured component analysis. - Confidence-based visual predictions. - Bounding-box overlays when supported coordinates are available. - Preliminary sorting and recovery recommendations. - Safety warnings and limitations. - Downloadable JSON analysis reports. - Responsive web interface. ReValue AI aims to support more informed e-waste sorting and responsible recycling workflows while keeping human verification central to all handling and recovery decisions. **Important:** AI-generated predictions are preliminary visual assessments, not certifications of electrical safety, chemical composition, battery condition, or precious-metal content.