Benin Multimodal AI Hackathon

On-site registration and Welcoming participants

On-site Opening Ceremony

On-site Networking and Team Formation

Official Hackathon Start

Online Hackathon Kick-off Stream

Lablab Workshop - Ampas Theodoros & Donald Nwokoro - Local language to image

Google Workshop - Mehrnoosh Vahdat -GenAI with Google Cloud

End of Submissions

LLMs are very much english centric. We are building LLM (and diffusion)apps to work for BENIN region

TranslationAugmentedGeneration

Raghavan

Challenge: Image generation from text in local languages.
Tracks: helps all 3 categories of culture preservation, sustainable agriculture and promoting tourism 
The solution developed for the Soro Benin Hackathon aims to preserve local languages and cultural identity in Benin through AI-generated images and text. The application uses a prompting technique called Translation Augmented Generation to generate culturally nuanced images from prompts in Yoruba, Fon, and Dendi languages. It also answers questions related to agriculture, tourism, and current events in these languages. The solution leverages existing language models and APIs, saving costs compared to training new models from scratch. It addresses challenges in cultural preservation, sustainable agriculture, and tourism by providing AI visuals and information in local languages, aiding communication and showcasing Benin's unique heritage to drive sustainable practices.

SDXL does not work very well for Benin language. We have developed a solution to improve it for Yoruba
App answers any question in Yoruba about Agriculture, tourism, government, weather, anything (also in other languages) 

Soro Benin

"TranslationAugmentedGeneration team on Benin Multimodal AI Hackathon Hackathon"

Team Idea

Submission