Source code for the deep learning models employed in OSAS study

Câmara de descontaminação de ar

Heartbeat is a research project focused on classifying heartbeats using ECG (electrocardiogram) data. Within the scope of this project, both conventional and state-of-the-art models from the literature, as well as experimental deep learning architectures, will be investigated and compared through experimental analyses.

GoEmergency is a healthcare service that was built up to help people check their symptoms and correlate them with diseases

💊 Smart Flask + Firebase-powered medicine reminder app that helps users manage doses, refills, and schedules

💊 Modern App for managing home medicine inventory with family sharing, expiry tracking, out-of-stock management, and shopping lists. Features mobile-first responsive design, 6-character family codes, and real-time synchronization. Built with Next.js, TypeScript & Firebase.

A simple HL7 FHIR implementation.

This Repository contains 11 different projects that revolve around the medical domain with each project upon which comprehensive analysis was conducted and achieving high accuracies.

Appointmed is a web application in the healthcare field that allows patients to find the specialist that best suits their needs and at the same time provides tools for professionals to manage the flow of patients.

Depression prediction with interpretable machine learning and XAI techniques.

A clean and modular ASP.NET Core 9.0 Web API sample project, tailored for healthcare domains including hospitals, clinics, and patient management workflows.

Beat Bracelet is an indoor, wifi connected smart bracelet useful to keep track of the health state of a person.

Team Members

The integration microservice responsible to manage patients inside the Operating Block.

Data science in genomics and healthcare

AirQuality-Monitor-ESP32 is a smart IoT device that monitors PM2.5, temperature, and humidity using SDS011 and BME680 sensors. It logs data to an SD card, alerts users via WhatsApp, and ensures asthma patients are protected with real-time environmental monitoring.

ECG Heartbeat Classification using Machine Learning and Deep Learning algorithms. Includes signal preprocessing, feature extraction, model comparison, and performance evaluation for arrhythmia detection using Python.

A wearable health-monitoring device designed to detect falls, track vital signs, and assist elderly or vulnerable individuals — built with ESP-IDF and fully open-source.

Obstetric Fistula in developing countries