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

building ai project to summarize movie scripts and generate backstories for the characters

we-r-artiste

babysalmon

Toliva Solomon Iwutung

Incarceron

muhammadqasim

Scrip2life is a new tool that utilises Co:here’s Large language model to save time by breaking down movie scripts and  generating summaries, character traits, and backstories for actors to use as inspiration while preparing for their upcoming auditions. Our goal is to improve their odds of finding and landing suitable and inspiring roles to portray stories for the viewers. We achieve this by streamlining the script comprehension using ai tools, so that actors focus on always standing out with the depth of understanding and world-building they manage to portray through the limited amount of preparation time before an audition or role. 

Our solution is validated by Deepmind’s discussions with industry Professionals evaluating their co-writing system, Dramatron. The writers expressed they would rather use the system for “world building,” for exploring alternative stories by changing characters or plot elements, and for creative idea generation than to write a full play. We focused on building scrip2life based on this market validation with the additional advantage that it is accessible to everyone, not just theatre professionals. Our MVP targets budding ad working actors who are looking for ways to save time while applying to hundreds of casting calls throughout the year. We additionally provide inspiration to be immersed into their characters and script for upcoming auditions and roles.

Scrip2life was written collaboratively in Replit IDE. The frontend is written in html, css and js. We used flask to bring the code to life, enabling the calls to the cohere api. We prioritised the co:here generate api due to the creative nature of Scrip2life.


Scrip2life is a new tool that utilises LLM from Cohere to save time by breaking down the script and  generating summaries, character traits, and backstories for actors to use as inspiration while preparing for their upcoming auditions.

"we-r-artiste team on Cohere Hackathon Hackathon"

Team Idea

Submission