We are proud to be the
Title sponsor
THE AI SUMMIT NEW YORK HACKATHON
December 11, 2024 to January 1, 1970
Javits Center, New York
Fetch.ai’s vision is to create a open AI Agent marketplace. 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:
uAgents - uAgents are autonomous AI agents built to connect seamlessly with networks and other agents. They can represent and interact with data, APIs, services, machine learning models, and individuals, enabling intelligent and dynamic decision-making in decentralized environments.
Agentverse - serves as a development and hosting platform for these agents.
Fetch Network - underpins the entire system, ensuring smooth operation and integration.
ASI:One - A Web3-native large language model (LLM) optimized for agent-based workflows.
Challenge statement
The world is evolving rapidly, with new technologies pushing the boundaries of what's possible. Fetch.ai challenges you to explore the power of AI Agents in solving real-world problems across various domains like the automotive and financial industries. Your task is to apply intelligent agent-based technology from Fetch.ai to one of the following areas, addressing critical issues in sustainability, education, interactive media, and healthcare.
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Sustainability Challenge: Design an AI Agent that optimizes energy consumption and efficiency for smart vehicles. The agent should analyze driving patterns, vehicle health, and external factors such as traffic and weather to reduce the overall carbon footprint. It must securely share data between public and private entities, ensuring sensitive information remains confidential. Consider how this data-sharing can improve the sustainability of transportation networks by promoting energy-efficient practices and reducing environmental impact.
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Education Challenge: Develop an AI Agent that personalizes educational content and feedback based on a user's learning history and preferences while adhering to standardized curricula. The agent should ensure the secure management and sharing of educational data across various platforms, protecting sensitive information. Additionally, explore how the agent can balance personalization with maintaining educational standards and how it can adapt to different learning environments to enhance educational outcomes.
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Interactive Media Challenge: Create an AI Agent that curates, sorts, and presents user-generated content, such as reviews and recommendations, for specific points of interest like restaurants, tourist attractions, or service providers. The agent should be able to filter through vast amounts of data to deliver the most relevant and credible information to users. It should also adapt its recommendations based on the user's past interactions and preferences, ensuring accuracy and reliability in the information shared.
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Healthcare Challenge: Innovate an AI Agent designed to assist in emergency situations, such as vehicle crashes or high-stress driving conditions. The agent should quickly assess the situation, provide real-time guidance, and securely share vital information, such as the vehicle's location and occupants' health data, with emergency responders. Your solution should prioritize maintaining user privacy and ensuring that sensitive health information is only shared with authorized parties.
Choose one of these areas and leverage Fetch.ai's powerful tools to build your solution. You can use uAgents, which come with built-in capabilities for secure transactions and storage, making them ideal for creating autonomous agents that can perform tasks seamlessly within Fetch.ai's ecosystem. Alternatively, you can use the Fetch.ai SDK, which allows for easy integration with other agentic frameworks and enables you to register agents on Agentverse for discoverability by other agents on the Fetch.ai network. While the SDK does not provide built-in storage or transaction capabilities, it offers greater flexibility for custom solutions. Select the approach that best fits your vision and bring your ideas to life with Fetch.ai's technology!
Additional Information :
Join the Fetch.ai Discord and verify yourself through the #verification channel, wait for a few minutes and click here to join the #ai-summit-new-york channel to start posting your queries.
Creating a Multi-Agent System using Pre-built Fetch.ai AI Agents: Myth Buster Application
Build your application using the fetch.ai SDK: Weather Forecast Application
If you want to learn more about uAgents through articles, please Click Here.
You can find more interesting integrations and examples on our gitHub Repo.
Tool 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()
Examples to get you started:
Judging Criteria
Prizes
Winner Team Fetch.Ai Beyond Boundaries AI Agent Prize
$500
Second Prize
Smartest AI Agent Prize
$250
Third Prize
Best use of Fetch.Ai Tech
$250
Judges
Sana Wajid
Chief Development Officer
Elliot Bertram
Business Development Director
Devon Bleibtrey
Chief Executive Officer
flockx
Mentors
Chinmay Mahagaonkar
Developer Advocate
Rajashekar V
Ambassador
Schedule
07:30 EST
Morning Kick-Off and Welcome Session
Javits Center, New York
08:00 EST
Tackle the Hackathon Challenge
Javits Center, New York
13:00 EST
Lunch Break
Javits Center, New York
14:00 EST
Continue Innovating and Building
Javits Center, New York
07:45 EST
Tackle the Hackathon Challenge
Javits Center, New York
12:30 EST
Lunch Break
Javits Center, New York
13:30 EST
Continue Innovating and Building
Javits Center, New York
16:05 EST
Winners Reveal
Javits Center, New York