MCP server enabling LLMs to interact with Garmin Connect - activities, health metrics, sleep data, and training analysis
A specialized Flutter-based health-tech framework designed for real-time stress risk assessment. By integrating physiological data points like pulse rate and systolic blood pressure into a multi-tier classification algorithm, it provides immediate insight into user wellness. Developed as a flagship open-source project under the eOzka student initia
This repository hosts a heart disease risk assessment tool that uses Logistic Regression to evaluate user-input health metrics.
Health Metrics and the Spread of Infectious Diseases with R (HMSIDR)
Different studies focused on digital health care
Analyze healthcare data to identify key trends, risk factors, and actionable insights using Tableau dashboards and Python preprocessing. Enhance healthcare decision-making with interactive visualizations and data-driven approaches.
This project provides a comprehensive analysis of McDonald's menu items, focusing on their nutritional content.The project empowers stakeholders to make data-driven decisions to optimize menu offerings and promote healthier choices.
Free wellness app by a Project Recovery Specialist. Daily check-in, nervous system tools, quit trackers, health education & free Canadian mental health links. No login. No account. Your data stays on your device. Open in any browser. 💚
Burbarik is the observability framework that provides deep visibility into data pipelines and systems. It tracks metrics, logs, lineage, and anomalies in real time—enabling proactive monitoring, faster troubleshooting, and assurance of data reliability and health across the platform.
Track fitness goals progress share with friends online... Created at https://coslynx.com
Designed an agentic nutrition assistant (FastAPI + Next.js, LangGraph) with two-stage hybrid retrieval (BM25 + FAISS→RRF→cross-encoder re-ranking), 25+ health metric computations, and Gemma-3-27b via NVIDIA NIM achieving 90% accuracy vs ∼62% naive search across 100+ real-world health scenarios.
A modern, interactive web application that visualizes your life progress by calculating your age and comparing it to the expected life expectancy based on your gender and location. Built with React, Vite, and Tailwind CSS.
📊 Analyze your Fitbit data with FitBaus—a web dashboard offering visualizations, trends, and insights for better health management.
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