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

Building agents to help developers with various mundane tasks in day to day life.
Starting with interviewing candidates. The most boring part of the job.

Makeabot

pmarmik

Interviewing is a challenging and time-consuming process that often demands significant engineering resources. One of the primary concerns is the potential for interviewer bias, which can inadvertently lead to unfair evaluations. This bias can stem from various factors, including personal preferences, preconceived notions, or even cultural backgrounds. Additionally, the turnaround time (TAT) for interviews can be prolonged. As a result, companies may inadvertently overlook highly talented candidates who might be snatched up by competitors in the interim. This not only leads to missed opportunities for the organization but also results in a longer hiring cycle, further straining resources. To address these issues, it's crucial for companies to invest in structured interview processes, bias training for interviewers, and efficient scheduling systems. Leveraging technology, like AI-driven assessment tools, can also help streamline the process and reduce human error. By refining the interview process, companies can ensure they're making the best hiring decisions while optimizing their resources.



Put technical phone screen on autopilot. Can also be used by new grads for mock interviews.

"Makeabot team on Autonomous Agents Hackathon Hackathon"

Team Idea

Submission