Kahf Everyday
YEAR
2024
INDUSTRY
Fast Moving Consumer Goods
SERVICES
AI & Deep Reinforcement Learning (DRL)
THE OBJECTIVE
A multi-cultural company, renowned for its various employees’ backgrounds, faced challenges in reaching multi-cultured audiences across diverse linguistic and cultural backgrounds. To overcome language barriers and ensure inclusivity, the company partnered with our team to develop a Real-time Caption Translator. This AI-powered tool aimed to provide seamless, accurate, and context-aware translations, enhancing accessibility and engagement for global audiences. The objective was to implement real-time caption translator that could handle multiple languages and cultural contexts with precision.
OUR WORK
Our strategy centered around three pillars:
- Advanced AI Development: Built neural machine translation models tailored for live captioning, trained on diverse datasets to handle colloquialisms, idioms, and cultural references.
- Cultural Contextualization: Integrated a context-aware framework that adapts translations to cultural nuances, ensuring relevance and appropriateness.
- Scalable Infrastructure: Leveraged cloud-based architecture to support high-speed processing and simultaneous translation for multiple languages.
This case study underscores the importance of AI in bridging cultural and linguistic gaps. By implementing a real-time caption translator, the company set a new standard for inclusivity and global reach. This project demonstrates how technology can foster greater cultural understanding, making diverse content accessible to all audiences, regardless of language barriers.
Contextualising Inspiration