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28-30 May 2025 Tehran, Sharif University of Technology

LLM Agents Hackathon

The LLM Agent Hackathon at Sharif University offers students hands-on experience with large language models and AI agents. It focuses on building practical skills, teamwork, and solving real-world problems, while encouraging innovation and preparing participants for future research and industry challenges in artificial intelligence.
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May 28, 2025 Sharif University of Technology, Tehran

Are You Ready?

Join the ultimate LLM agents hackathon where innovation meets real-world impact.
Build with brilliant minds, compete for top prizes, and shape the future of AI — right here in Tehran.

Register Now
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OUR MISSION

Empowering the Future of AI Agents — One Hack at a Time

We're on a mission to revolutionize how people interact with intelligent systems. This hackathon brings together passionate builders, coders, and creators to push the boundaries of what's possible with large language model (LLM) agents.

Whether you're developing autonomous workflows, smart assistants, or next-gen dev tools, this is your playground to experiment, build, and win.

Why Join?

  • Collaborate with top minds in AI and automation

  • Access exclusive LLM tools, APIs, and expert mentors

  • Compete for prizes, swag, and global recognition

  • Build something amazing — and maybe even launch your next startup

Educational Keynotes

Dive into the future of AI with expert-led sessions on autonomous agents, multi-modal reasoning, and real-world applications of LLMs. Learn from industry leaders and research pioneers driving the next generation of language models.
From autonomous customer support bots to creative AI dungeon masters, teams built impressive projects using cutting-edge LLM frameworks.

From autonomous customer support bots to creative AI dungeon masters, teams built impressive projects using cutting-edge LLM frameworks.

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Form your team, choose your challenge, and start exploring ideas! This year’s hackathon will include exclusive access to new tools, live mentorship sessions, and lightning talks from leaders in AI.

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Once the event kicks off, you’ll have 48 hours to turn your vision into reality. Submit your project, demo it to judges, and compete for prizes across categories like best autonomous agent, most creative use of LLMs, and audience favorite.

Timeline

Jump into the LLM-Agents with experts help

This event serves as a platform to bridge academic knowledge with cutting-edge AI applications, encouraging participants to explore, innovate, and collaborate on impactful projects.

  1. MAY 28 2025 9 AM - 6 PM

    Day 1: Online Sessions & Kickoff

    The hackathon commenced with a series of online sessions aimed at setting the stage for the event. 

    Participants were introduced to the objectives and structure of the hackathon, followed by expert-led sessions covering topics such as building autonomous agents with large language models (LLMs), prompt engineering, and the ethical considerations in deploying LLM agents. The day concluded with team formation activities, allowing participants to connect, form teams, and brainstorm project ideas.

  2. MAY 29 2025 9 AM - 6 PM

    Day 2: Hackathon Commencement

    With the official start of the hackathon, teams began working on their projects, focusing on innovation and practical application. 

    The day included scheduled mentor check-ins, providing teams with guidance and opportunities to address challenges. Participants continued developing their projects, utilizing available resources and support. Midday, teams shared brief updates on their progress and challenges, fostering a collaborative environment and encouraging knowledge exchange.

  3. MAY 30 2025 9 AM - 6 PM

    Day 3: Hackathon Conclusion & Presentations

    The final day of the hackathon was dedicated to refining projects and preparing for presentations. 
    Teams finalized their work, conducted testing, and ensured their projects were ready for demonstration. Each team presented their project to the judges and participants, showcasing their innovations and the outcomes of their collaborative efforts. A judging panel evaluated the projects based on criteria such as innovation, functionality, and impact. The event concluded with an awards ceremony, where winners were announced and recognized for their outstanding contributions.

Speakers

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Dr. Mohammad Hossein Rohban

Associate Professor in Computer Engineering at Sharif University

Specializes in Machine Learning, Statistics, and Computational Biology. With a Ph.D. from Sharif, he conducted postdoctoral research at MIT's Broad Institute and Boston University.
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Dr. Alireza Ghafarollahi

Postdoctoral scholar at MIT

Postdoctoral scholar at MIT’s Laboratory for Atomistic and Molecular Mechanics, holds a Ph.D. in Mechanics from EPFL. His research focuses on computational materials design, integrating atomistic simulations and machine learning to study crystal defects’ impact on mechanical properties.

Sponsers

  • riml-white-sm
  • idax