This project is a comprehensive recruitment and interview assistance system developed based on large models and agents, leveraging the langgraph and llamaindex agent frameworks. It aims to enhance job search efficiency and interview performance by automating and intelligentizing the entire interview process. it is China Software Cup A3 competition

⚡️ BaguRush (八股冲刺) — Because your brain deserves a better way to rot. AI-powered mock interview agent powered by LangGraph & DeepSeek.

🧠 An Interview Coach AI Agent built using Python, LangGraph and OpenAI

Job Interview Notification AI Agent (LangGraph JS)

LangGraph based full-stack Agentic AI interview application

基于LangGraph多Agent架构的AI模拟面试系统 | AI-powered mock interview system with LangGraph multi-agent

IntrVu - A multi-agent AI-Powered Interview Preparation Platform...Built using LangGraph with secure JWT from Clerk.

LangGraph-based multi-agent AI system for resume analysis, ATS optimization, and interactive interview evaluation with real-time feedback.

An AI-driven technical interviewer built with LangGraph, FastAPI, and the PERN stack. Features agentic routing, RAG-based grading, and real-time feedback.

CareerForge AI is an agentic AI–powered career guidance platform built with FastAPI and React. It uses LangGraph and LangChain to orchestrate multiple specialized AI agents for learning guidance, resume building, mock interviews, and job search, powered by OpenAI and a custom Google Search API.

AI Multi-Agent Research Assistant: This is a full-stack AI application that builds a custom team of autonomous AI researchers to investigate any given topic. Powered by LangGraph and Meta Llama 3.1 70B (via the Nvidia API), the AI agents conduct web searches, interview an "expert" node, and stitch their findings together .

An AI research assistant that automates knowledge gathering by deploying multiple analyst personas. These agents conduct interviews, search for information, and collaborate to produce comprehensive reports with proper citations on any topic. Built with LangGraph for orchestrating the multi-agent workflow.

AI-powered interview preparation agent built with LangGraph and GPT-4o. Generates role-specific questions from your resume and job description, evaluates answers with scored feedback, and deploys on Azure Container Instance via a 4-stage Azure DevOps CI/CD pipeline.

This repository contains my practice work in Data Structures and Algorithms (DSA) using Java, along with projects and exercises in JavaScript, System Design, Node.js, React.js, Nest.js, TypeScript, Agentic AI, LangGraph, LangChain, Autogen, OpenAI, and other topics related to interview preparation.

Hiring Copilot is a multi-agent, LangGraph-based automation system that simplifies and accelerates the hiring process. From analyzing job descriptions to parsing multiple resumes, ranking candidates, auto-generating emails, suggesting interview slots and notifying — this tool acts as an AI hiring assistant for recruiters.

LangGraph based AI interview agent

Multi-agent AI Interview Coach — LangGraph + Azure OpenAI

AI-powered interview prep agent built with LangGraph + FastAPI + React

AI-powered interview system using LangGraph agentic workflow for intelligent candidate evaluation

Multi-agent AI system for Sales & Trading workflows - Interview preparation project demonstrating LangGraph, Spring AI, and agentic patterns

Agentic AI frameworks interview preparation — LangChain, LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP)

An AI-powered interview system built with Langgraph, designed to conduct interactive technical interviews for practice with intelligent agents.

LangGraph-based research agent with modular architecture for generating AI analyst personas and conducting parallel interviews

AI-powered interview agent MVP with a human-in-the-loop feedback system, built on LangGraph, FastAPI, and Streamlit.

A realistic AI-powered interview simulation tool that helps job seekers prepare for interviews through dynamic conversations with an intelligent interviewer agent. Built with LLMs, LangGraph, FastAPI, and 3D rendering.

🤖 LangGraph-powered AI interviewer agent — generates role-specific questions, evaluates answers, decides follow-ups, and streams responses via FastAPI SSE.

AI-powered voice agent that conducts empathetic clinical intake interviews for cancer pain management patients, built with Gemini Live API, LangGraph, FastAPI, and ChromaDB

AI-powered interview simulator built with LangGraph and Google Gemini that analyzes resume–JD gaps, generates contextual interview questions, evaluates answers, and provides structured feedback using a multi-agent architecture.

🧠 AI Resume & Interview Agent – An interactive, in-progress project designed to analyze resumes and conduct mock interviews based on job descriptions. Built using LangGraph, Streamlit, Gemma 3, and Docling.

A multi-agent AI interview simulator built using Google Gemini and LangGraph. Includes HR, Technical, and Behavioral interviewer agents with company-specific questions (Google, Meta, Amazon). Supports sequential agent workflows, memory, and structured evaluation reports. Built as a capstone project.