AI Travel Concierge: A multi-agent orchestration system based on LangGraph and FastAPI. The architecture, powered by Groq (Llama-3.3-70B), uses the ReAct pattern for autonomous travel planning. It offers persistent user preferences, real-time API integrations (Google/Weather), and interactive mapping with SQLAlchemy. Data-driven smart logistics app

Multi-agent AI system for investment research - a personal investment research concierge for Indian stocks

A modern multi-agent AI concierge system that provides seamless hotel services through natural conversation.

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An evidence-based skincare concierge built using Google ADK and Gemini Flash. Multiple agents handle ingredient safety, evidence retrieval, routine generation, and calendar reminders. The system avoids diagnosis and provides simple, science-backed skincare guidance personalized to each user

AI-intensive capstone project implementing intelligent agents to solve complex tasks using machine learning and decision-making algorithms. Includes end-to-end implementation, experiments, and analysis in a reproducible notebook.

Multi-agent AI concierge system with planner, worker, evaluator agents

AI-powered travel concierge system with multi-agent architecture

ET AI Concierge - Multi-Agent AI system for Economic Times ecosystem

AI-powered Multi-Agent Concierge System for Smarter Resource Assistance

The Adaptive Life Concierge Agent – AI multi-agent productivity system with ML predictions & LLM integration.

Multi-agent AI system powered by Google Gemini API. Features SmartTravel AI travel concierge with weather intelligence and modular agent architecture.

AI-powered smart concierge that detects user life signals and provides personalized recommendations using a multi-agent system.

Production-grade multi-agent conversational AI system inspired by Financial Services pioneers in Chat Concierge platforms. Demonstrates scalable multi-agent architectures and showcases expertise in applying agentic AI within regulated industries.

LifeTrack AI is a multi-agent concierge system designed to help users track, analyze, and improve their daily routines.

Multi-agent AI concierge system for hotel booking, payment, guest support, and service management using Google ADK and Gemini.

The GoNow AI Travel Concierge is a multi-agent system that uses Gemini and real-time search to orchestrate 8 specialized sub-agents, delivering personalized, budget-conscious travel plans instantly.

AI-powered operating system for AmPac's Entrepreneur Ecosystem — multi-agent workspace for member concierge, access to capital outreach, operations, and marketing across CA, AZ, and NV.

MACS Project Multi-Agent Concierge System (MACS) leverages advanced AI agents to streamline workflows, enhance productivity, and provide seamless user interactions. Features include RAG-based indexing, vector DB integration, and multi-agent orchestration for efficient task management and intelligent decision-making.

This project builds a Concierge AI Agent that helps students manage their daily academic and personal tasks by combining mood tracking, progress planning, and note-taking into one unified multi-agent system.

Concierge Agent is an advanced multi-agent AI system designed to automate daily personal and professional tasks. It leverages LLM-powered agents, specialized tools, long-running operations, session management and long-term memory to deliver a seamless personal assistant experience.

AI-powered gift concierge agent for Kapruka.com ; Built with Anthropic Claude + Qdrant + pure Python. Features multi-agent routing, 3-tier memory system, allergen safety reflection loop, and a Streamlit chat UI. AEE Bootcamp | Mini Project 03.

A multi-agent AI system that helps users find nearby places, rank them by reviews, and suggest the best transport mode with real-time weather context. It acts like a smart concierge that combines location intelligence via Agents

A multi-agent AI system that helps users find nearby places, rank them by reviews, and suggest the best transport mode with real-time weather context. It acts like a smart concierge that combines location intelligence via Agents

TravelMate AI is an advanced multi-agent concierge system that generates fully personalized travel itineraries based on user preferences, travel dates, budget, weather conditions, and destination insights. Using multi-step reasoning, tool integrations, and specialized modular agents, it delivers a structured, and easy-to-follow travel plan.

Computer Use AI Agent is a multi-agent system designed to help users operate their computer hands-free and automate repetitive digital tasks. Built using the Google Agent Development Kit (ADK), it combines screen intelligence, voice interaction, and system-level control to act as a personal concierge for all desktop activities.

Nutri-Concierge is an intelligent multi-agent nutrition assistant built with ADK, Streamlit, and the Edamam Food API. It dynamically handles food lookups, macro calculations, meal planning, and comparisons. The system uses coordinated AI agents and memory to deliver smart, context-aware responses.

“Concierge Track – Life Automation Supervisor (LAS) is a multi-agent AI system that acts as a personal executive assistant. It interprets natural-language requests, coordinates specialized agents for meals, scheduling, finance, and wellness, stores user preferences, and delivers automated, personalized life management.”

The AI Personal Life Manager is a multi-agent concierge system that helps users manage tasks, reminders, travel plans, and expenses through natural language. It uses specialized agents coordinated by a central controller to understand user intent and take the right action automatically.

This is my submission for the Kaggle x Google 5-Day Agents Intensive Capstone Project. 🧭 Travel Planner Concierge An AI-powered multi-agent system that automates end-to-end travel planning: • Flight search • Hotel search • Itinerary ranking • Long-running booking operations • Logging, observability, and benchmarking