New
AI Assistant Live!

Your Complete Health Hub for Better Living

Empowering you with real-time health tracking, personalized insights, and comprehensive wellness management. Take control of your health journey today.

Health Dashboard
Features

Comprehensive Health Monitoring

Everything you need to track, manage, and improve your health in one integrated platform.

RAG Pipeline using Langchain

RAG Pipeline using Langchain

Our health assistant is powered by a RAG pipeline using Langchain to generate responses to your questions

Real-Time Health Monitoring

Real-Time Health Monitoring

Monitor Heart Rate, SpO2 and ECG in real-time

Activity Tracking

Activity Tracking

Monitor your daily activities, exercise routines, and fitness progress

Health Dashboard

Health Dashboard

Comprehensive overview of your health metrics in one place

Nutrition Monitoring

Nutrition Monitoring

Track your diet, calories, and nutritional intake with detailed insights

Health Records Analysis

Health Records Analysis

Advanced analytics and insights from your health data

Medical Records

Medical Records

Securely store and access your medical history and test results

Health Reports

Health Reports

Generate detailed health reports and share them with your healthcare providers

RAG Pipeline

Hybrid RAG Architecture

Our advanced RAG pipeline combines structured sensor data from our SQL database with unstructured medical records to provide comprehensive health insights.

Structured Data Retrieval

Real-time sensor data and health metrics are stored in our SQL database, enabling precise temporal queries and trend analysis.

Unstructured Data Processing

Medical records, doctor's notes, and health documents are processed using advanced NLP techniques for semantic understanding.

Intelligent Synthesis

Our LLM combines insights from both structured and unstructured data to generate comprehensive health reports and answer queries.

RAG
Tech Stack

Our Tech Stack

Our platform uses Next.js 14, TypeScript, and TailwindCSS for the frontend. The backend is built with Supabase and LangChain, with a custom RAG pipeline running on a FastAPI server.

Advanced RAG Pipeline

Advanced retrieval-augmented generation using LangChain and LangGraph

Secure Data Storage

SOC 2 compliant medical data storage with Supabase

Next.js 14

Built with Next.js 14, TypeScript, and TailwindCSS

Real-time Processing

Real-time sensor data processing and visualization

Unstructured + Structured RAG

Unstructured data retrieval with LangChain and structured data retrieval with LangGraph

Smooth Animations

Beautiful, responsive UI with Framer Motion animations