Cohere Hackathon

Paweł Czech and Mathias Asberg, co-founders of New Native will talk about lablab.ai's mission and vision. https://www.twitch.tv/lablabai

Start

Sharing a broad overview of Cohere, the solutions Cohere provide, tips for the hackathon, Cohere New Multilingual Model and Sandbox 
https://cohere.ai/

Cohere Opening

Together with lablab.ai and Cohere teams we will shortly introduce you to the hackathon challenge and give you the guide for the Hackathon

Introduction to the Challenge, FAQ

Kemi Tijani will introduce you to Cohere and it's technology

Cohere Introduction

Unleash the power of AI with Text Generation! Learn how to generate human-like text with ease, by training models on your own data. 

Getting started with Text Generation

Unlock the power of AI-driven semantic search to improve data discovery & user experience. Learn how to understand intent & context for more accurate results.

Introduction to semantic search

Want to choose the perfect idea for your project? Start by identifying a problem, researching potential solutions, and considering your skills & resources. 

Choose an idea for a project

Ensure long-term success by building a scalable project architecture. Learn best practices to handle growth and adapt to changing requirements.

Build a project architecture to scale

We will be looking for the secret of success with winners of Cohere Hackathon

Panel with Cohere's Winners

Let's get to know each other more and discuss hot topic in AI world during this session

Interviews with participants

Company that uses data Analytics to meet its customers demands

Quantum Analytics limited

Dismas

Cyclops is a smart assistant device that takes input from an inbuilt camera and microphone and gives response through inbuilt speaker it understands and responds to human commands using both visual and audio cues. The camera captures live video while the microphone picks up spoken commands. By integrating both visual and audio input, Cyclops smart assistant is able to provide a more intuitive and natural user experience. The device uses facial recognition to identify the user and then use voice commands to perform specific actions. This is useful for tasks like home automation, where visual instructions are necessary. Cyclops improve its understanding of the user's commands over time, continually learning from its interactions, provides a unique and versatile user experience, offering a new level of convenience and accessibility. We have built cyclops using an IP camera and used raspberry pi model zero w as its computing unit,  video images captured by the inbuilt camera  are converted into a string by means of a TensorFlow image processing code while voice to is turned into a string via speech to text this is then sent to cohere for processing via the API

An assistant that uses both voice and vision to solve users requirements

"Quantum Analytics limited team on Cohere Hackathon Hackathon"

Team Idea

Submission