Inspiration
Medical lab reports are filled with complex clinical shorthand and dense columns of numbers. Most patients cannot interpret their own results easily, which leads to unnecessary anxiety, confusion, and a massive health literacy gap. We wanted to build a solution that empowers patients to understand their health instantly.
What it does
KleckAdvice Agent is an AI-powered assistant that translates complex medical reports into intuitive, patient-friendly insights. When a user uploads a report, the system processes it using OCR and passes it to an intelligent LangGraph workflow. The agent flags abnormal metrics, generates a simplified health risk score, and maps the data into clear, interactive visual dashboards. It also features a secure, contextual Q&A chat box where patients can ask specific follow-up questions directly grounded in their report data.
Challenges we ran into
One of our biggest hurdles was creating a pipeline robust enough to handle various unstructured lab report layouts without failing. Standard rule-based parsing breaks easily on unexpected formats. We solved this by implementing an LLM-driven adaptive extraction pipeline that dynamically maps diverse document text into structured, clean data.
Accomplishments that we're proud of
We are incredibly proud of successfully building a working multi-language microservices architecture under tight hackathon timelines—connecting a Spring Boot entry proxy smoothly with a specialized FastAPI AI worker engine to safely route and process binary data streams.
What's next for KleckAdvice
We plan to implement full enterprise-grade data persistence, user profile history tracking, and direct integration with major hospital electronic health record (EHR) systems to help patients track their health metrics over long periods.
