The Problem
The COVID-19 pandemic exposed a fundamental fragility in healthcare: physical contact between patients and medical staff is both necessary and dangerous. Doctors need to examine patients; nurses need to handle medication — but every interaction is a potential transmission vector.
Beyond the pandemic, over-reliance on manual diagnosis creates bottlenecks. Doctors are forced to make calls without computational support, and recovery timelines are often little more than educated guesses.
What Elixicor does
Elixicor is a digital healthcare platform that minimizes physical touchpoints while improving diagnostic quality:
- AI-assisted diagnosis — analyzes patient symptoms and history to suggest likely conditions and treatment paths
- Smart prescriptions — recommends medications based on patient attributes (weight, height, age, gender, known conditions)
- Recovery prediction — uses ML to estimate recovery timelines, helping patients and families plan
- Contactless workflow — doctors review AI-generated summaries and approve decisions remotely
Tech Stack
- NodeJS (backend)
- Firebase (patient data + auth)
- HTML5 + CSS3 (frontend)
- Machine Learning + AI (diagnosis + prediction models)
- Java (core services)
Recognition
Top 20 — Hack36 2.0 Hackathon (April 2021)