Inspiration
Mental health is a huge issue in youth. The bright initiative.
What it does
An AI agent that helps youth connect with local mental health resources. Prompts a LLM (Databricks LLaMA) to summarize contact details. Returns a user-friendly summary.
-find_accessible_psychotherapists runs a Spark SQL query against your Delta table and returns a JSON‐formatted string of venues. -PromptTemplate injects that JSON into a human-readable instruction for the LLM. -ChatDatabricks calls your Databricks model endpoint to generate a summary. -StrOutputParser extracts the plain-text answer from the LLM’s output.
How we built it
The project is developed using Databricks and Python
Challenges we ran into
Finding a dataset was difficult.
Accomplishments that we're proud of
We were able to create a technical demo of the application in very little time. We also made friends :)
What we learned
Databricks and langchain integrations are going on a great way
What's next for BloomForward
Win the prize ;)
Built With
- databricks
- langchain
- python
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