An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.

An LLM Chatbot based on LangGraph and LangChain that dynamically retrieves and processes resumes using RAG to perform resume screening.

This project transforms a traditional portfolio into an interactive experience by allowing visitors to have a conversation with an AI-powered version of myself. Built using React and the OpenAI API, the chatbot is trained with my resume, professional background, and personality traits to engage in meaningful, authentic conversations.

Web based chatbot that uses LLM to ask questions about multiple resumes uploaded as PDFs

Objective Develop a web-based chatbot application where users upload resumes (PDF or image). The system should: 1. Extract resume content using OCR. 2. Process the extracted text with OpenAI to identify key information. 3. Display the extracted factors in a clean table inside the chatbot interface.

Playing with RAG using Ollama, Langchain, and Streamlit. This project aims to demonstrate how a recruiter or HR personnel can benefit from a chatbot that answers questions regarding candidates.

Resume RAG Chatbot using LangChain, FAISS, Streamlit, and Ollama

ResuMatch is a full-stack web application designed to streamline the job application process for job seekers. It offers features like resume analysis, intelligent job matching, an interactive interview preparation chatbot, and a customizable resume builder and get job suggestions. Built with React, Django, and Tailwind CSS.

Develop a simple yet accurate Resume parsing model using pdfminer and web-app using streamlit to match candidate profiles with suitable job offers, and a chatbot to make cost-effective and efficient hiring solutions for Moroccan startups and companies using llm gpt-3.5-turbo.

PrepNexus is an AI-driven system using a fine-tuned RoBERTa model for resume analysis and job role recommendations, built a LangChain-ChromaDB powered interview chatbot with LLaMA-3 (8B) for real-time technical Q&A, and implemented a BeautifulSoup-based job scraping pipeline to enhance job search efficiency by 40%.

AI powered chatbot using BERT and dialoGPT

Chatbot designed to read a JSON resume and parse the information into branches of dialogue. This helpful tool allows recruiters a different and interactive way to get to know an applicant.

A web application that analyzes resume-job fit using NLP and provides an AI chatbot for interview practice.

🚀 AI-powered Resume Analyzer with features like resume scoring, score distribution graph, SWOT analysis, predicted career path, and Aspire AI – a smart career chatbot to guide users toward better opportunities and professional growth

An AI-powered career accelerator built with Streamlit, Gemini 2.5, and LangChain. Features an intelligent Resume Builder, ATS Scanner, and Career Chatbot to help job seekers land their dream roles.

Python AI Chat Bot for answering questions related to my resume.

Single page interactive resume exploration application built around a chatbot. 1st place in MintBean's "Hack the Chatbot" Hackathon.

Project for recruiters to Chat with candidate resume instead of reading everything about them.

API for Resume maker chatbot application built using Laravel 8

Online resume creator with the help of a chatbot.

Gradio Chatbot application that uses retrieval-augmented generation (RAG) to answer questions about my professional experience and my resume. The chatbot is designed to retrieve relevant information from a resume and generate intelligent responses using large language models (LLMs).

🚀 AI-Powered Portfolio of Tanushree Sarkar A sleek, responsive portfolio built with Next.js, Tailwind CSS, and Framer Motion, featuring: 🤖 AI Resume Chatbot 🧊 Glassmorphism UI (Dark/Light Mode) 💼 Filterable Project Showcase 📄 One-Click Resume PDF Generator

A chatbot powered by RAG and Llama 3.2:3B, designed to answer questions about my resume and work experience. Built with Flask, React, Nginx, Docker, and Ollama.

About Dataset What's In The Deep-NLP Dataset? Sheet1.csv contains 80 user responses, in the responsetext column, to a therapy chatbot. Bot said: 'Describe a time when you have acted as a resource for someone else'. User responded. If a response is 'not flagged', the user can continue talking to the bot. If it is 'flagged', the user is referred to help. Sheet2.csv contains 125 resumes, in the resumetext column. Resumes were queried from Indeed.com with keyword 'data scientist', location 'Vermont'. If a resume is 'not flagged', the applicant can submit a modified resume version at a later date. If it is 'flagged', the applicant is invited to interview. What Do I Do With This? Classify new resumes/responses as flagged or not flagged. There are two sets of data here - resumes and responses. Split the data into a train set and a test set to test the accuracy of your classifier. Bonus points for using the same classifier for both problems.

Welcome to the My Resume Chatbot repository powered by RAG and Open AI!

My GitHub profile, website and resume-trained LLM chatbot.

ResumeGPT is a NextJS app that features a GPT powered chatbot that can answer questions about my resume

PortfolioChat is a web-based portfolio and chatbot application designed to showcase your professional profile and allow visitors to interact with a chatbot for information, resume download, and contact options.

AI-Driven Resume Screening System: An intelligent hiring platform that uses NLP and machine learning to automatically parse, rank, and match candidate resumes with job descriptions, featuring explainable AI rankings, bias detection, and an interactive chatbot for interview preparation.

An interactive application that allows users to upload their resumes, process them for content extraction, and simulate interview Q&A sessions with an AI-powered chatbot.