Transform your Apple Health data from a static PDF graveyard into conversational AI intelligence. Multi-agent system using Claude Desktop + Snowflake Cortex for natural language health analytics. Ask 'What's my cholesterol trend?' and get instant insights from years of data

🍃 Production-ready: Just upload a photo of any plant or crop, the system takes care of the rest. Powered by advanced object detection and Multi-AI Agents, it identifies over 100+ species and autonomously fetches detailed insights like scientific name, history, health benefits and risks, ideal growing seasons, market prices, etc.🌾

No description available

A multi-agent predictive healthcare system that leverages CBC biomarker analysis and regional trend insights to detect diseases like anemia, dengue, and sepsis. It integrates patient health summaries, disease inference, and outbreak monitoring for proactive and intelligent medical response.

This project explores how a Multi-Agent LLM detects cognitive distortions and mood fluctuations in a simulated month-long individual journal. The goal for the system is to serve as a preemptive strategy for identifying and managing depression and anxiety, offering insights into mental health trends over time.

SYMPSENSE - A Micro Health Multi-Agent Symptom Insight System

A comprehensive health AI platform that combines Retrieval Augmented Generation (RAG), local large language models, multi-agent systems, and voice AI to provide personalized health insights and medical information.

AI-powered blood test analysis system using CrewAI multi-agent framework. FastAPI backend with specialized medical agents for comprehensive health insights, nutrition recommendations, and exercise planning from blood test PDFs.

AI-powered personal finance mentor that analyzes income, expenses, and investments to deliver health scores, FIRE planning, tax insights, and portfolio optimization through a multi-agent system.

AI-powered GitHub repository auditor that analyzes code quality, security risks, dependencies, and git activity using a multi-agent LangGraph system. Generates structured health reports with actionable insights.

🇰🇪 AI-powered analytics platform for Kenya's community health systems. Integrates with national e-CHIS to provide insights from 107,000 Community Health Promoters. Features multi-agent AI architecture, RBAC security, and real-time monitoring. Supports Kenya Community Health Strategy 2020-2025.

MindCare AI is a multi-agent mental health support system that analyzes user conversations over multiple interactions to assess current mental wellbeing, provide personalized insights, and suggest actionable steps for improvement through empathetic, AI-driven dialogue.

An AI-driven system for predicting cardiovascular disease risk, providing personalized diet, exercise, and medication recommendations. Built with Streamlit, FastAPI, PostgreSQL/MongoDB, and AI models for real-time insights. Features include multi-agent AI, patient dashboards, and IoT health tracking. 🚀