Llama Impact Hackathon

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CrewSeven

Prajwal S Nayak

philippinech3025

cshar765

Lingualink is a digital health app that bridges language gaps in emergency medical settings, enhancing response times and care quality for non-English-speaking patients. Designed to transcribe low-resource languages into English, Lingualink allows triage nurses to quickly assess patient conditions who do not speak English efficiently, ensuring critical symptoms are accurately conveyed. In the US, 8.6% of the population faces language barriers in the ER, leading to potential treatment delays. Even a one-minute reduction in response time can save 10,000 lives annually, highlighting the urgent need for accessible translation.
Lingualink operates with real-time transcription tailored to medical contexts, delivering precise, clinically informed translations for underrepresented languages in medical emergency settings. Cost-effective at $3,000 per month, Lingualink provides hospitals an affordable alternative to on-site or third-party translators. With a Total Addressable Market (TAM) of $2.64 billion, a Serviceable Available Market (SAM) of $1.32 billion, and a Serviceable Obtainable Market (SOM) of $132 million, our SaaS model targets US hospitals facing significant language barriers.
Our competitive advantage includes rapid response, accuracy, and data-driven translations verified by medical research, making Lingualink a vital tool for ER staff. By reducing communication barriers, Lingualink enhances ER experiences for non-English speakers, helping to lower healthcare costs, accelerate treatment, and potentially save thousands of lives annually.

Our app leverages a fine-tuned model trained on low-resource languages, enabling seamless, adaptive communication with patients in their native languages. This approach breaks down language barriers between medical staff and patients, ensuring that patients can comfortably discuss their health concerns in their preferred language, thereby improving the quality and accessibility of healthcare

Bridging the language gap in medical emergencies for faster, accurate ER care

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