
3
2
India
1 year of experience
I am a Mechanical Engineer (2019 batch) currently working as a Manufacturing Engineer at TecX. While my core background and expertise are entirely in mechanical systems and manufacturing workflows, I have a deep curiosity for technology and innovation. This is my very first AI hackathon and my first practical project in the field of Artificial Intelligence. I am participating to learn how autonomous agents work, how Large Language Models connect to data networks, and how to apply structural engineering logic to software development. I am excited to learn, build, and grow my skills through hands-on experience in the open-source community.

Project Summary EchoLogic AI is a production-ready, hands-free operational workspace that allows field engineers and logistics workers to monitor critical systems and log hazardous incidents purely through natural voice interactions. Powered by AssemblyAI’s low-latency Voice Agent API and Universal-3 Pro Streaming STT, EchoLogic AI maps real-time conversational audio into immediate, structured enterprise database transactions using deterministic JSON-Schema tool calling. The Problem & Business Value Field engineers, logistics coordinators, and industrial maintenance workers frequently operate in high-risk environments where manual data entry on laptops or smart devices is distracting, unsafe, or physically restricted. Administrative documentation backlogs often cause severe operational response delays. EchoLogic AI completely reclaims this lost time, keeping workforce personnel focused, safer, and entirely hands-free. By transforming the documentation workflow into an active listening session, update speeds are accelerated by orders of magnitude, providing immense practical business utility across supply chain and infrastructure enterprises. Tech Stack & Implementation StructureOur architecture is strategically engineered into a fast, decentralized hybrid network infrastructure: Frontend Interface: Next.js application built with TypeScript and Tailwind CSS, fully optimized and hosted on Vercel to handle encrypted browser audio stream permissions seamlessly. AI Engine: AssemblyAI Voice Agent platform utilizing advanced streaming speech-to-text context evaluation and real-time turn-taking heuristics. Fulfillment Layer: Lightweight FastAPI server containerized via Docker, utilizing an automated WebSocket-to-Webhook transactional bridge to handle complex enterprise database routines securely.
30 Sep 2026

AgenticAlpha is an open-source, multi-agent algorithmic trading infrastructure built specifically for the LabLab.ai x Alpaca AI Trading Agents Hackathon. Our platform bridges advanced Large Language Models with production-ready execution environments by leveraging Anthropic's Model Context Protocol (MCP) standard. The core architecture splits responsibilities across specialized, autonomous AI agents. The Research Agent scans live financial options chains and derives complex, risk-defined option spreads based on real-time Implied Volatility parameters. Before execution, the trade payloads are passed to a deterministic Execution Guardrail Agent. This critical security layer validates total capital risk allocations to ensure maximum loss parameters are never breached. Finally, trades are smoothly dispatched through the Alpaca Python SDK Trading API onto the paper trading network.
4 Sep 2026