CAMEL framework-based multi-agent system for task-driven and dynamic environments

Developed an Intelligent AutoML Assistant using PyCaret, TensorFlow, and CrewAI that analyzes tabular datasets, compares ML and DL models, and recommends the best algorithm. A multi-agent workflow handles analysis, training, evaluation, and decision-making, with a Streamlit UI for easy dataset upload and clear, explainable results.

Offline Text-to-SQL Agent – Convert natural language questions into SQL queries with explanations. Fully open-source, runs locally, and features a Streamlit UI, multi-table support, and configurable SQLite databases. Built with LangChain, LangGraph, Ollama (CodeGemma 7B).

🚀 AI-powered multi-agent trading analysis system with Streamlit UI. Features technical indicators, pattern recognition, trend analysis, and LLM-driven decision synthesis using Groq API. Built with Python, OpenBB, and matplotlib for comprehensive market insights.

Faraday: An Autonomous Web Research Agent (LangGraph/Streamlit). 🕵️♀️ Investigates queries using dynamic tools (Tavily, Google, NewsAPI, etc.), gathers multi-source info, and synthesizes structured reports in a Streamlit UI. Features agentic workflow & source tracking.

Build a production-ready multi-agent quantitative analyst system where AI agents scrape market data, analyze trends, and generate investment reports. Uses FastAPI for orchestration, Streamlit UI, Azure PostgreSQL for logging, and Azure Blob Storage for archiving.

An intelligent agent that converts natural language questions into Cypher queries for Neo4j databases using LangGraph agentic workflows. Features Streamlit web UI, YAML configuration, multi-step query processing with guardrails, planning, validation, and interactive graph visualization.

🎓 StudyAlpha is an intelligent, end-to-end AI Study Coach powered by multi-agent collaboration, memory-augmented reasoning, adaptive quizzes, and ML weakness prediction. Built for the Google × Kaggle Agents Intensive — Freestyle Track. 💡 Personalized plans • 🧠 RAG memory • 📝 Quizzes • 📊 ML evaluation • ⚙️ Streamlit UI

An AI-powered workflow automation system that fetches code from GitHub, analyzes its structure, generates technical documentation, and updates Confluence. Uses LangGraph for multi-agent orchestration, OpenAI for code analysis, and Streamlit for an interactive UI. Automates documentation and keeps it up to date effortlessly. 🚀

A multi-agent chatbot that ingests PDFs, PPTX, CSV, DOCX, and TXT files, performs FAISS-based semantic search, and answers queries via an interactive Streamlit UI with structured agent communication using MCP.

AI Research Assistant is a multi-agent system built with LangChain, LangGraph, and LangSmith. It lets users ask research questions and returns search results, summaries, and synthesized reports in a ChatGPT-like Streamlit UI. Easily extendable with real APIs or RAG.

A multi-agent AI system built with LangGraph orchestration, FastAPI backend, and Streamlit UI.

🤖 AI-Powered CSV Data Analysis with Multi-Agent Collaboration & Streamlit UI

AI Call Center Assistant — multi-agent LangGraph system with Claude, GPT-4o, Gemini. Streamlit UI. AWS-ready.

LLM-powered multi-agent coffee shop assistant with FastAPI backend and Streamlit UI for ordering, recommendations, and menu detailing.

Faraday: An Autonomous Web Research Agent (LangGraph/Streamlit). 🕵️‍♀️ Investigates queries using dynamic tools (Tavily, Google, NewsAPI, etc.), gathers multi-source info, and synthesizes structured reports in a Streamlit UI. Features agentic workflow & source tracking.

Multi-Model AI Agent — Generate, enhance, and convert text into audio/video using GPT-4, Claude, Gemini, HuggingFace, ElevenLabs, and D-ID. Modern UI with Streamlit.

An Agentic RAG demo that researches and drafts clinical trial protocols. Built with LangGraph and Streamlit to showcase multi-step AI orchestration, automated reviewing, and UI observability.

AI-powered code agent using LangGraph for intelligent task decomposition and software architecture guidance. Features Streamlit UI, multi-model support (OpenAI GPT, Google Gemini), and Docker deployment.

Advanced Agentic Retrieval-Augmented Generation (RAG) system with built-in safety measures. Features multi-agent architecture (Researcher/Checker/Safety), Maker-Checker refinement loop, input validation, output sanitization, and Streamlit UI for academic research assistance.

Production ready LangGraph multi-agent orchestration template with supervisor routing, FastAPI + Streamlit chat UI, MCP tool calling, local RAG + knowledge graph retrieval, PostgreSQL memory, per-user auth, and CI/CD.

AI Content Generator using CrewAI, Gemini & Tavily A multi-agent system with Research, Writer, Editor & SEO agents. Generates blogs & YouTube scripts with real-time web research and a polished Streamlit UI. Fully automated pipeline with fallback handling & high-quality content output.

Multi-Agent Dynamic Builder is an AI-powered app that uses CrewAI, Azure OpenAI, and Streamlit to simulate a full software team. It features a Project Manager, System Architect, UI Developer, and Backend Developer who collaborate autonomously to analyze user requirements, design system architecture, and generate frontend and backend

MultiTool-LangGraph-RAG-Agent is an AI-powered multi-tool assistant built with LangGraph and LangChain, featuring FastAPI backend with JWT authentication, Streamlit UI, PDF Q&A with RAG, OCR for low-text pages, semantic search via pgvector, persistent memory in PostgreSQL, Tavily web search, real-time crypto prices, structured logging, and session

RAG Chatbot is an AI-powered system that allows users to upload multi-format documents and ask questions about their content. Built with an agent-based architecture and uses MCP format (not using the real MCP), it uses document ingestion, semantic retrieval (FAISS), and LLM to provide accurate, contextual answers via via a chat-style Streamlit UI.

A multi-agent AI system designed to provide intelligent IT support using Azure OpenAI. This system uses LangChain as the multi-agent orchestration framework, and Streamlit to serve the web UI. It demonstrates how specialized AI agents can work together to resolve various IT issues including Windows 11, Microsoft Office, and hardware problems.

Multi-stage deep researcher agent using Agno and ScrapeGraph with Streamlit UI.

Multi-agent Binance Futures trading engine with LangGraph, Gemini, CLI and Streamlit UI.

AI Shark Tank Agent - Multi-agent system with 6 independent Shark agents using LangGraph + LangChain, Streamlit UI, and comprehensive evaluation pipeline

AI-powered Research Paper Analyzer using multi-agent architecture (Analyzer, Summarizer, Citation Extractor, Review Agent) with OpenRouter LLMs and Streamlit UI.