Team Elephant's Hackathon Journey
NOTE- we couldn't submit video because the agent ran out of credits. and stopped talking
Hope the gallery is good enough.
Lucinda, Jaswanth, and Scott all found each other on the first day of the hackathon and started working as a group, which we named Team Elephant. Scott proposed an idea related to his professional field: the translation industry. The group agreed on the idea, which involves an AI Agent that assists medical translators via expertly curated context documents, including multilingual medical glossaries, as well as anonymized medical treatment records.
While our final solution was built directly in ElevenLabs, we experimented with a range of possible solutions, including a build in Loveable.
Collaboration & Development
Our group collaborated via Discord server, Google Meet, and Google Docs, working directly on shared documents. We used Grok, ChatGPT, and Gemini to create and troubleshoot prompts for our Loveable build.
Additionally, we curated and developed expert documentation to include as context for the AI Agent, including:
- A detailed English-Spanish Medical Insurance Glossary
- A sampling of anonymized patient records for clinical context
Market Research & Presentation
For our presentation, we also conducted market research on estimated cost savings and other potential impacts of our AI Agent.
Inspiration
Scott works in this area and knows the problem well.
What it does
Translates along multiple dimensions: medical terminology, acronyms, English, Spanish, Insurance terms
How we built it
Tried many avenues- ended up using ElevenLabs Agents
Challenges we ran into
Can't easily hook into ElevenLabs, or embed in website or hook into LLM
Accomplishments that we're proud of
Simple beautiful app in the end
What we learned
Use the most powerful simple tools to get the job done.
What's next for Medical Translation AI Assistant
Build out more data sources, and really important to have text output in addition to spoken word
Built With
- agent
- elevenlabs
- it
- that's
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