<translate> LivHealth Kiswahili Corpus aims to empower local communities to correctly identify livestock syndromes and get timely interventions from qualified livestock practitioners. Using Natural Language Processing NLP, Machine Learning ML, and Artificial Intelligence AI, the project will build Kiswahili text-to-speech models for disseminating disease information to marginalized communities. Working closely with their partner, One Health Center in Africa OHRECA based at ILRI, they will enhance the functionality of the LivHealth system to enable local communities easy access to disease information on demand and in Kiswahili. <swh>LivHealth Kiswahili Corpus inalenga kuwezesha jamii kutambua kwa usahihi magonjwa ya mifugo na kupata afua kwa wakati kutoka kwa watendaji waliohitimu. Kwa kutumia Uchakataji wa Lugha Asilia NLP, Kujifunza kwa Mashine ML, na Akili Bandia AI, mradi utajenga miundo ya Kiswahili ya maandishi-hadi-sauti kwa ajili ya kusambaza taarifa za magonjwa kwa jamii zilizotengwa. Wakifanya kazi kwa karibu na washirika wao, Kituo cha One Health Center in AfricaOHRECA chenye makao yake ILRI, wataimarisha utendaji wa mfumo wa LivHealth ili kuwezesha jamii za wenyeji kupata taarifa hitajika za magonjwa kwa urahisi na kwa Kiswahili. 