Team
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Project Concept
We are a team from the Universidad Nacional de Colombia passionate about software development and AI agents. We love building creative, useful, and innovative solutions that turn bold ideas into real impact.
We believe in creating products that not only work well, but also generate real value by combining design, engineering, and critical thinking. In this hackathon, we are here to experiment, learn, collaborate, and show that innovation happens when creativity meets technology.
Entry
Status: Submitted
Last saved: May 09 at 5:38 PM -05
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María Alejandra Muñoz Team Lead RSVP Approved
Front-end dev at Universidad Nacional de Colombia
María Alejandra led the frontend, product experience, and visual interaction design of Interia. She defined the UI direction, user interaction flow, and design logic for the application. She worked on the frontend implementation using Next.js, React, TypeScript, Tailwind CSS, and shadcn/ui, and guided the creation of the interface through structured design prompts and frontend specifications. Her work focused on making Interia feel like an interactive generative UI product, with room upload, design flow, contextual controls, user interactions, and visual decision-making instead of a text-only chatbot.
María Alejandra Muñoz González is a Software Engineer at the Universidad Nacional de Colombia, where she works on the Laboratory of Finance and Decision Making Software Project. With 3 years of experience, she has a background in Ingeniería de Sistemas e Informática from the same institution. María is a front-end developer who is open to new opportunities and is actively seeking full-time and contract work. She is passionate about contributing to open-source projects, such as the development of a Biosignal software for the Neuromarketing Lab. María is looking to share knowledge with peers, build community and friendships, and find design partners. She is open to introductions and prefers to be contacted via email.
Generative AI, Machina Learning, frontend development, SvelteKit, Next.js, UX design, knowledge sharing, community building, design partnerships.
The development of a Open Source Biosignal software for the Neuromarketing Lab of the Universidad Nacional de Colombia.
Juan Esteban Hincapie Hincapie RSVP Approved
Full Stack Developer at Unergy
Juan Esteban focused on the backend and infrastructure side of the project. He set up the backend environment, worked on the Docker-based execution flow, integrated and adapted the LangGraph / LangChain starter toolkit, and supported the connection between the agent workflow and the application logic. He also worked on debugging, database setup, backend reliability, and making sure the technical foundation could support the Interia prototype during the hackathon.
I'm a student on my 4th year, currently working at Unergy as a Software Developer. I love to challenge myself with new projects and learning new things always.
Software Developing and Networks
Designing a video game for blind people and non blind people
Jacobo D'león Zuluaga RSVP Approved
Full stack deb at Universidad nacional de Colombia
Jacobo led the overall technical and product architecture of Interia. He defined the agent-oriented structure, repository organization, project scope, functional requirements, and technical stack. He also worked on clarifying the core product concept, the expected user flow, and how the application would move beyond a traditional chatbot into a state-driven generative UI experience. His work helped align the team around the use of LangGraph, LangChain, and the hackathon starter toolkit as the foundation for the agent workflow.
Last semester student at the Universidad Nacional de Colombia. Have worked full time for the laboratory of Neuromarketing for a year, participated in AI projects, spend two years as a math teacher of integral calculus and participating in coding competitions.
Agents frameworks
The Compatibility Oracle is an AI assistant that helps engineers determine whether industrial components can work together. Instead of only searching documents, it builds a knowledge graph of products, protocols, cables, adapters, and compatibility relationships. When a user asks, “Can Part X work with System Y?” The project demonstrates GraphRAG, hybrid retrieval, entity extraction, and agentic reasoning.