Advanced customer support chatbot system with AI-powered responses, multi-channel support, and intelligent ticket routing for enhanced customer service experience.

An autonomous drone-based system for landmine detection using AI and multi-sensor fusion. Features real-time monitoring and SMS alerts via Twilio for enhanced safety and rapid response.

A collaborative AI system that leverages multiple models (Claude, GPT, Perplexity) to analyze, compare, and improve responses through cross-model analysis and self-reflection.

AI-Generated Project: enhanced_cs.AI_2508.15748v1_Response_and_Prompt_Evaluation_to_Prevent_Parasoci - Created by WATCHDOG Multi-Agent System

AI-powered multi-model chat system with real-time internet search, asynchronous LLM execution, and GPT-4.0 evaluation, built with Streamlit and LangChain for enhanced response accuracy and interactivity.

The Enhanced Multi-Agent Chatbot System is a sophisticated conversational AI platform that intelligently routes user messages to specialized agents based on multi-dimensional analysis. The system combines natural language processing, emotional intelligence, and context awareness to provide personalized responses.

Agentic AI Suite is a multi-agent system designed to handle web-based queries and financial analytics.Powered by Groq's large language model and enhanced with tools like DuckDuckGo and YFinance, the system ensures accurate, concise, and source-backed responses.

The project "Advanced AI for Autonomous Underwater Defense Systems" develops intelligent solutions for underwater threat detection, classification, and response. Using AI for object recognition, autonomous navigation, and multi-sensor frameworks, it enables real-time data processing, predictive analytics, and enhanced maritime safety.

This project implements a multi-agent RAG (Retrieval-Augmented Generation) system using LangGraph for orchestrating AI agents, AstraDB as a scalable vector store, and Gemma for enhanced language processing. The system intelligently routes queries between Wikipedia search and a vector database to provide accurate and context-aware responses.