Bernard fonyuy@bernard_fonyuy767

EchoSight is an AI-powered assistive vision platform designed to help blind and visually impaired individuals understand and interact with their surroundings through computer vision, spatial intelligence, and natural voice interaction. The Problem Navigating unfamiliar environments presents significant challenges for people with visual impairments. Traditional mobility aids provide essential physical feedback but cannot describe complex scenes, identify distant objects, or answer contextual questions about the environment. Our Solution EchoSight combines local computer vision, AMD-powered AI models, Evolus intelligent agents, and a conversational voice agent to transform visual information into accessible spoken guidance. How It Works EchoSight uses YOLO to detect objects and Depth Anything V2 to estimate depth. A spatial reasoning engine analyzes object positions and potential obstacles, generating navigation warnings locally without depending on cloud connectivity. For deeper environmental understanding, AMD Token Factory provides multimodal AI inference, while the Evolus Accessibility Assistant interprets grounded visual observations to generate contextual responses. A conversational voice agent allows users to ask natural questions such as “What is in front of me?” or “What is behind those people?” and receive spoken answers. Intelligent Architecture EchoSight uses a hybrid edge-cloud architecture. Time-sensitive obstacle warnings are processed locally, while cloud-powered AI handles more complex scene interpretation. Session isolation, observation freshness checks, and cloud-failure fallbacks improve reliability. Our Vision EchoSight demonstrates how computer vision, intelligent agents, and accessible voice interfaces can work together to make environmental information more accessible and support greater independence.

EchoSight is a conversational AI vision assistant designed to help blind and visually impaired users better understand their surroundings through natural voice interaction. EchoSight combines computer vision, depth estimation, spatial reasoning, navigation logic, and real-time voice AI into one system. A camera image is analyzed using YOLO object detection and Depth Anything V2 to identify objects, estimate their relative depth, determine their position, and understand whether they may obstruct the user’s walking path. The spatial reasoning layer converts raw computer vision results into meaningful information such as “a person to your left,” “a car directly ahead,” or “an obstacle nearby.” The navigation engine then evaluates the scene and produces actionable guidance such as “Continue,” “Caution,” “Move left,” “Move right,” or “Stop.” AssemblyAI powers the conversational voice interface, allowing users to interact with EchoSight naturally instead of relying on a visual interface. Users can ask questions about what is around them and receive spoken responses based on the current scene. The goal is to demonstrate how modern AI agents can connect perception with reasoning and voice interaction to create more accessible technology. EchoSight is currently a prototype and is not intended to replace certified mobility or safety equipment, but it demonstrates a foundation for an intelligent, conversational navigation assistant.

The Unified Supermarket Inventory Manager Agent is a cutting-edge Agentic AI solution engineered for large supermarket chains seeking next-generation operational efficiency, centralizing all inventory decisions into a single, highly resilient system powered by the high-reasoning Llama 3.2 model and leveraging 8 integrated tool functions. The core innovation is a strict, autonomous four-phase automated workflow that ensures every decision is systematic and data-driven: it proactively handles Low Stock Reorders by detecting items below a 50-unit threshold and utilizing the find_cheapest_transport tool for efficient logistics; it performs Trend Analysis on specific event sales data to predict demand, strategically increasing stock or forwarding suggestions to the supply manager; it executes Performance Optimization by dynamically boosting top 5 sellers by +50% and aggressively reducing bottom 5 sellers by -30% to free up capital; and it concludes with a Final Summary detailing all actions. This systematic approach delivers massive financial potential, driving revenue growth by ensuring 100% stock availability of top-selling and trending items, while achieving Cost Mastery by minimizing waste and optimizing complex supply chain logistics, all guaranteed by robust, 24/7 error handling across the entire enterprise.

🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.