AI Agents Hackathon 2.0

Welcome to Opening Stream! Join us for sessions and the Hackathon Guide.

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

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

Albert Astabatsyan, a no-code veteran and Bubble.io expert, will be joining us for a demo of some of the AI agents created with Fine-Tuner!

No-Code AI Agents with Fine-Tuner

Divyansh Garg, an AI and RL researcher at the world's biggest AI labs and creator of MultiON, is joining the Kick-Off to introduce you to AI agents and inspire you in building your own!

Guide through AI personal agent - MultiOn

After the Kick-Off stream, focus on finding your team for the Hackathon and start brainstorming your idea!

Team Formation time!

Submission Deadline

DublinByte is a passionate and dynamic team of AI enthusiasts based in the vibrant city of Dublin.

DublinByte

Abhinaw Tiwari

khaym

The core ethos of DublinByte's surveillance system lies in harnessing the power of AI to enhance safety and security across various domains. By employing sophisticated object detection algorithms, the system enables swift and precise identification of diverse elements, including people, animals, and objects. This real-time detection capability proves to be a game-changer, allowing immediate response to potential threats and suspicious activities, effectively mitigating risks and ensuring a safer environment.

An intriguing aspect of DublinByte's creation is its seamless integration of text-to-speech models. This ingenious addition empowers the system to provide vocal notifications and alerts upon identifying specific objects, such as cups. The real-time audio feedback plays a crucial role in alerting security personnel, property owners, or relevant authorities, enabling rapid and decisive actions when needed.

While their prototype focuses on detecting cups, the underlying AI architecture is inherently versatile and scalable. DublinByte's surveillance system holds immense promise to be customized for recognizing an array of objects, from weapons and hazardous items to missing individuals or potential intruders. This adaptability underscores the system's potential to revolutionize security protocols in various settings.

The applications of DublinByte's AI-driven surveillance system are both comprehensive and far-reaching. In bustling public spaces like airports, train stations, and shopping centers, the system can act as an ever-vigilant guardian, ensuring the safety of commuters and shoppers alike. In private establishments, including offices, homes, and warehouses, it becomes an invaluable asset for preventing theft, monitoring crowd movements, and maintaining overall security.

We are focusing on surveillance of live video streams, such as CCTV, via YOLOv8 object detection and text-to-speech models. Our goal is to detect various objects in real-time thus utilizing AI for ensuring safety and security in society.

"DublinByte team on AI Agents Hackathon 2.0 Hackathon"

Team Idea

Submission