Llama Impact Hackathon

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Business Problem:
MNCs lose $120 billion in annual revenue opportunities due to insufficient localization efforts in their promotions. Ineffective localization can hinge brand trust and cost brand reputation, while decreasing sales and customer acquisition.
The Malay-speaking market is a strategic gateway to the broader Muslim market for MNCs. However, entering this market presents significant challenges, including lengthy agency hiring processes and potential cultural and religious misunderstandings. On top of that, traditional A/B testing is a slow and inefficient process, often taking 3-6 months to see the performance due to organizational bureaucracy and insufficient ML infrastructure. Content selection is frequently arbitrary and subjective, further complicated by the need for Malay language translation.

Goals:
To help businesses reach 290 mil. Malay speakers and enter the market with ease - leveraging ML-powered personalized messaging


Solutions:
Our plug-in platform automates the entire cross-cultural marketing process. From website analysis to message delivery, it ensures culturally sensitive communication with Malay speakers, eliminating the need for manual translation and human intervention.


Technical approaches:
- Use TogetherAI to preprocessed the dataset downloaded from HuggingFace
- Fine-tuned Llama 3.2 using the refined dataset via TogetherAI
- Used LlamaIndex to template prompts and execute the model


Automated, culturally-sensitive messaging solutions for MNCs entering Malay-speaking markets

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"Samurai Cats team on Llama Impact Hackathon Hackathon"

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