Autonomous Agents Hackathon

SuperAGI is hosting Twitter space before the Hackathon, having an open discussion on AI Agents with AI experts from SuperAGI, Weaviate, Llamaindex, and lablab.ai

Join the discussion on Twitter on @_superAGI page!

Twitter Space Talk!

Hackathon Kick-Off

The founders at NewNative and lablab.ai will introduce participants to our mission and the opportunities you have as a member of the lablab.ai community

NewNative Introduction

Introduction to SuperAGI: Exploring AI Agents

AI Agents Explained: A Talk by Logan Kilpatrick (from OpenAI)

Vector Databases & AI Agents: A Talk by Etienne Dilocker, Weaviate

Let's go through the Technologies for the Hackathon and how you can learn it.

Technology and Challenge

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon

Hackathon Guide

Weaviate Workshop: 45-Minute Session with Mentors on Discord

AWS Workshop with Goutam Kurumella

Open Q&A with mentors

Live Q&A: Meet the Auto-GPT Team

Join us for an insightful Q&A session with Vasek Mlejnsky of E2B and the expert mentors from lablab.ai!

Book Your Slot with Industry Experts! Collaborate with Mentors from Arize, Lablab.ai, LlamaIndex, SuperAGI, and Weaviate to Finalize Your Concepts and Ideas!

Mentorship Sessions

Arize Workshop on Discord: Troubleshooting Retrieval Augmented Generation

Q&A Session with GPT Engineer Anton Osika

Submission Deadline

Finnalists Pitching and Winners Announcament Stream

Aspire to rewind the ack_links and the fundamental to solve the issue that has been ignored

Ack links

AINike

INYOURDREAM

lauraclaw01

It’s all about how to protect and aware people of cyber fraud or online fraud or electronic fraud…….

•	To help target Victim’s brainwashing and manipulation.
•	Using past and present or current data to trace the frauds and take legit action.
•	Verify content data explicit level. 

Fraud Detection System for Cyber and Online Fraud Protection and Awareness

Standards:

1.	Preventing brainwashing and manipulation of targeted victims.
2. Utilizing historical and current data to trace fraud and take legitimate action.
3. Verifying content data explicit level and potential harm to society.


Objectives:

•	Develop an advanced fraud detection system using machine learning and data analysis techniques.
•	Raise awareness among users about different types of online fraud and how to avoid them.
•	Provide actionable insights and recommendations based on fraud detection results.

By using the past and present we will have the data that will help us to trace and avoid online fraud which happens through the earned money online fraud websites...etc


Fraud Detection System for Cyber and Online Fraud Protection and Awareness
Preventing brainwashing and manipulation of targeted victims.
& Verifying content data explicit level and potential harm to society.

"Ack links team on Autonomous Agents Hackathon Hackathon"

Team Idea

Submission