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

AI team in private applied science school

ASU-FITers

Abdullah_alhawi

Fatima

Ahmad Mahmoud

We track emotional states within text, then we provide a recommendation or simply show an ad that is suitable with what the user really feels.
This project is using many  machine learning algorithms to train a classifier. We deployed cohere embedding system API.
The backend service was built using python django framework.
 The motivation behind this work is that a big share of people spends a long time online, and although they express their negative emotions freely, they don’t actively take action to improve them. Even when they have positive emotions, they don’t make use of their excitement and energy. On the other hand, many local activities and services are available out there, but not everyone knows about them. Besides, the truth is that a single type of activity isn’t suitable for all. So, a strategy must be followed to recommend a specific activity to people with a specific type of emotions.
Many companies and organizations will be interested in advertising, especially the ones that offer life coaching services, trip organizers, fitness and massage centers, comedy shows, therapists, and many other activity organizers and human well-being services.

Our system can recommend activities\services based on user current emotions.

"ASU-FITers team on Cohere Hackathon Hackathon"

Team Idea

Submission