ItinerAI is a multiagent AI-powered travel planner that generates personalized day trip itineraries based on user preferences.

This Recruiter LinkedIn Post Generator turns job descriptions into scroll-stopping, emoji-rich LinkedIn posts in seconds. Crafted with LangChain + Groq LLMs, it supports multiple tones & languages — no writing skills needed!

This is an AI-powered solution designed to streamline cold email generation and client engagement for service-based companies. By utilizing Llama-3.1, a state-of-the-art language model, and ChromaDB, a vector database optimized for semantic search and retrieval, the tool generates highly personalized and contextually relevant cold emails.

Developed an AI-powered recruitment tool leveraging the LLaMA model, LangChain, and ChatGroq to analyze job descriptions and extract key details like roles, skills, and experience. Integrated ChromaDB for efficient semantic portfolio matching and real-time feedback. Built an interactive Streamlit interface for job input, portfolio matching, and aut

I am charan , i developed an AI clone of mine using the RAG and LLM's to explore more about my self during the resume and portfolio interactions

AI Research LLM is a smart assistant powered by Groq's lightning-fast Llama3 and LangChain that answers questions by searching across multiple knowledge sources in real-time.

A Streamlit app that quizzes beginners on AI concepts and provides personalized feedback. Powered by the ChatGroq LLM, it evaluates user responses and offers constructive guidance to help improve AI knowledge.

This project is Document Q and A RAG. Users chat with pdfs for relevant information on Streamlit based Front End. Uses Open AI embeddings, GROQ API, models from GROQ cloud.

This is a user-friendly application built with Streamlit that leverages the power of LangChain and the Groq API to extract and summarize content from YouTube videos, websites, and PDF files. Whether you're conducting research or just want a quick overview of long content, this tool simplifies the summarization process into a few clicks.

This repository serves as a hands-on guide to building conversational agents using LangGraph, a powerful library for creating stateful, multi-step LLM applications with graph-based logic. It includes progressively advanced examples, demonstrating how to construct intelligent workflows for chat and retrieval tasks.