We are proud to be the
November 9, 2024
717 Market St. San Francisco
08:00 PST
Registration & Breakfast
717 Market St. San Francisco
09:00 PST
Opening Ceremony
717 Market St. San Francisco
10:40 PST
Team Formation
717 Market St. San Francisco
12:00 PST
Lunch
717 Market St. San Francisco
13:00 PST
Hacking Begins
717 Market St. San Francisco
17:30 PST
Dinner
717 Market St. San Francisco
08:00 PST
Breakfast
717 Market St. San Francisco
12:00 PST
Lunch
717 Market St. San Francisco
16:00 PST
Hacking Ends!!
717 Market St. San Francisco
16:00 PST
Presentations
717 Market St. San Francisco
17:50 PST
Judging
717 Market St. San Francisco
18:00 PST
Closing Remarks
717 Market St. San Francisco
18:10 PST
Awards Ceremony
717 Market St. San Francisco
18:30 PST
Networking and Wrap Up
717 Market St. San Francisco
Fetch.ai’s vision is to create a marketplace of dynamic applications. We are empowering developers to build on our platform that can connect services and APIs without any domain knowledge.
Our infrastructure enables ‘search and discovery’ and ‘dynamic connectivity’. It offers an open, modular, UI agnostic, self-assembling of services.
Our technology is built on four key components:
Agents - AI Agents are independent decision-makers that connect to the network and other agents. These agents can represent data, APIs, services, ML models and people.
Agentverse - serves as a development and hosting platform for these agents.
AI Engine – enables humans to interact with the dynamic agent marketplace using natural language to execute the objective.
Fetch Network - underpins the entire system, ensuring smooth operation and integration.
Challenge statement
In a world where technology is advancing rapidly, Fetch.ai invites you to explore the potential of AI Agents in solving real-world challenges. Your task is to apply intelligent agent-based technology from Fetch.ai to one of the following areas, focusing on critical challenges in translation of important UN Documents, housing development, and environmental sustainability. We encourage you to design projects that incorporate multiple AI Agents to collaborate and enhance the overall effectiveness of your solution.
Complex interactions between land degradation, drought, and people: Create a system of AI Agents that explores the significant implications of land degradation on natural disasters like drought and its effects on economic and social well-being in affected communities. Each agent can specialize in different analytical aspects, such as data collection, impact assessment, and restoration effectiveness evaluation. By collaborating to examine the effectiveness of land restoration initiatives on economic growth and community resilience, your agents can inform strategies for sustainable development and enhance disaster preparedness efforts.
Fast and Accurate AI Translation of Important UN Documents: Develop a suite of AI Agents that tackle the complexities of translating UN documents, which often contain specialized terminology and intricate concepts. Each agent can focus on different aspects of the translation process. By leveraging natural language processing to learn from existing official UN documents, your agents should create efficient translation tools or assist official translators in producing accurate translations, enhancing the accessibility of vital information across diverse languages.
Unraveling the Complexity of Building Codes for Housing Construction: Design a network of AI Agents that addresses the fragmented landscape of California's varied building codes, complicating affordable housing development. Different agents can focus on specific jurisdictions, regulatory compliance, and construction best practices. By organizing and clearly displaying differences in building codes, your agents will aid developers in navigating regulations. This collaborative approach can support policy changes that promote affordable housing solutions and improve overall access to housing.
Additional Information : You can post all your queries in the #innovation-labs channel on Discord.
If you want to learn more about uAgents through articles, please Click Here.
You can find more interesting integrations and example on our gitHub Repo.
In case you missed the Fetch.ai Pre-Hackathon Workshop, here's a link to the presentation and the recording
Fetch.ai tech stack
Quick start example
This file can be run on any platform supporting Python, with the necessary install permissions. This example shows two agents communicating with each other using the uAgent python library.
Read the guide for this code here ↗
from uagents import Agent, Bureau, Context, Model
class Message(Model):
message: str
sigmar = Agent(name="sigmar", seed="sigmar recovery phrase")
slaanesh = Agent(name="slaanesh", seed="slaanesh recovery phrase")
@sigmar.on_interval(period=3.0)
async def send_message(ctx: Context):
await ctx.send(slaanesh.address, Message(message="hello there slaanesh"))
@sigmar.on_message(model=Message)
async def sigmar_message_handler(ctx: Context, sender: str, msg: Message):
ctx.logger.info(f"Received message from {sender}: {msg.message}")
@slaanesh.on_message(model=Message)
async def slaanesh_message_handler(ctx: Context, sender: str, msg: Message):
ctx.logger.info(f"Received message from {sender}: {msg.message}")
await ctx.send(sigmar.address, Message(message="hello there sigmar"))
bureau = Bureau()
bureau.add(sigmar)
bureau.add(slaanesh)
if __name__ == "__main__":
bureau.run()Important links
Examples to get you started:
Judging Criteria
Fetch.ai AI Agents for Global Good Prize
$1,000 Cash Prize Interview Opportunity 50 Agents, 1M Messages, and 200K Seconds of computation time on Agentverse for 1 month
Fetch.ai AI Agents for Social Transformation Prize
$500 Cash Prize
Interview Opportunity
Fetch.ai AI Agents for Environmental Change Prize
$500
Cash Prize
Fetch.ai Impact Maker Prize
$5000
Project Grant
Support
Support will be available at the hackathon, and you can also reach out to the core dev team who will be able to support you via Discord ↗
Judges
Sana Wajid
Chief Development Officer
Elliot Bertram
Business Development Director
Mark Losey
CTO at FlockX
Attila Bagoly
Head of AI
Mentors
Tanay Godse
Developer Advocate
Chinmay Mahagaonkar
Developer Advocate
Kush Agarwal
Developer Advocate
Claire Zhang
Developer Advocate
Kaylee Mei
Developer Advocate
Justin Nguyen
Developer Advocate
Ready to get started with Fetch.ai Platform?
