
Our project is an AI‑assisted ENT documentation platform designed to help clinicians generate high‑quality, structured medical notes in minutes instead of hours. Today, ENT documentation is repetitive, time‑consuming, and prone to omissions or inconsistencies, pulling doctors away from patient care. Our solution combines a structured note builder with AI to turn clinical inputs and free‑text dictation into complete, procedure‑specific ENT notes. Clinicians select the anatomical region and procedure, enter key details, or paste rough notes, and the AI automatically populates structured fields, generates clear clinical narratives, and checks for missing or conflicting information. The system keeps clinicians fully in control, with AI acting as an assistant rather than a decision‑maker. In addition, the platform can generate patient‑friendly discharge instructions from the finalized note, improving communication and follow‑up care. The result is faster documentation, improved consistency, and better clinical workflows—without compromising accuracy, safety, or human oversight.
7 Feb 2026

ParkSense reimagines parking guidance as an AI ops console. The backend ingests city telemetry, curates it in Qdrant, and taps Google Maps distances to understand how congested each bay is, how far the walk will be, and which lots match driver or city rules (covered, EV ready, safe). The frontend feels like a command center: search for a city, set your trip context, and the dashboard instantly ranks lots, paints live map overlays, and feeds insights, timelines, and fleet statuses. It’s built to impress hackathon judges and city teams alike—combining real APIs, vector memory, and narrative UI to cut circling and emissions.
19 Nov 2025