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AI-powered Resume & Job Description Semantic Matcher using NLP, BERT embeddings, cosine similarity scoring, and smart resume parsing. Includes dataset samples, notebooks, modular Python code, and documentation.

A Flask-powered job platform that parses resumes, matches skills, and fetches job listings via web scraping & APIs. Users can post jobs and get smart recommendations. Built with SQLite, NLP, OCR, and Flask API. 🔹 Secure auth 🔹 Custom DB 🔹 Mobile-responsive UI #Python #Flask #NLP

AI-powered Smart ATS Resume Evaluator built using Google Gemini, Streamlit, and PDF parsing to match resumes against job descriptions with insightful feedback.

Developed a smart AI-powered resume optimization tool leveraging Google Generative AI (Gemini) to enhance resume compatibility with job descriptions. The system parses PDF resumes, analyzes job descriptions, and provides insights such as match percentage, missing keywords, and personalized recommendations.

A privacy-first Streamlit app that uses local LLMs (via Ollama) and the SerpAPI Google Jobs API to analyze your résumé and find AI-matched job listings. Features smart parsing, role detection, semantic ranking, and a clean UI — all running 100% locally on your machine.

A smart job recommendation system that parses resumes, matches suitable job roles (from offline data or the Adzuna API), and ranks them into three categories — Safe, Stretch, and Fallback. The system also integrates LLM-based summaries and personalized upskilling plans to enhance career recommendations.

An AI agent helps ease the hiring process for recruiters. Smart Hiring Bot is an AI-powered recruitment assistant designed to streamline and automate the hiring process. It leverages Natural Language Processing (NLP) and LLM to parse resumes, match candidates with job descriptions, and rank applicants based on predefined criteria.

An AI-powered system that automatically extracts key details from resumes (skills, experience, education) and matches candidates to the most relevant job openings based on their profile. Helps recruiters save time and improves hiring accuracy.

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Smart Resume Screener: Intelligently parse resumes, extract skills, and match them with job descriptions.

AI-Powered Job Portal matches candidates to jobs using ML-based resume parsing and smart recommendations. Live demo : https://smart-skill-match-14.lovable.app/

Smart Resume Analyzer & Job Description Matcher using 7 NLP techniques: TF-IDF, POS Tagging, NER, Word Embeddings, Cosine Similarity, Dependency Parsing

AI-powered Job Portal built with Django, Python, and MySQL that parses resumes and matches candidates to jobs using NLP. Project: https://smart-skill-match-14.lovable.app/

Smart Resume Scanner — Colab + Python tool that parses PDF/DOCX/TXT resumes, computes semantic match scores against job descriptions, and produces a justified shortlist.

JD Resume Matcher is an AI-powered MERN app using Python and OpenAI to help job seekers tailor resumes to job descriptions. 🔹 🤖 AI Matching 🔹 📊 Match Score 🔹 ✍️ Smart Suggestions 🔹 🗂️ Resume Parsing 🔹 💻 Clean, user-friendly UI

A smart resume screening tool that uses AI/ML to automatically parse resumes, compare them with job descriptions, and rank candidates based on skill match.

AI-powered Resume Matcher & Text Intelligence tool leveraging NLP (Spacy, NLTK, Scikit-Learn) to extract, analyze, and rank resumes against job descriptions. Unlock recruiter efficiency with smart parsing, semantic search & insightful candidate-job fit scoring.

Smart Resume Parser & Job Recommender is a FastAPI-based backend that extracts structured data from resumes, generates summaries using LLMs, recommends jobs based on matched skills, and enables chat-based resume Q&A. Built to scale with support for job scraping and advanced NLP pipelines.

AI-powered resume analyser that parses resumes,evaluates skills,and provides feedback with job match insights.built as a full stack web app for smarter hiring and career guidance

A Job Recommendation System using Chroma DB + Hugging Face embeddings, with: > Smart filtering using zero-shot classification > Query embeddings for personalized matches > A resume-to-job matcher that parses PDFs and finds the top 10 relevant roles in seconds

SkillBridge is a Java-based job matcher that parses resumes, compares skills with job listings, and simulates alerts. Designed for disaster-affected regions, it’s a scalable tool for connecting talent with opportunity through smart automation.

TalentMatchAI is an AI-powered resume parsing and matching tool built with Gemini API. It extracts skills, experience, and education from resumes, then matches candidates to job requirements. Designed for recruiters, job portals, and smart hiring solutions.

HireScan is an AI-powered resume screening tool that parses, scores, and matches candidates to job roles in seconds—built to streamline smart hiring for modern recruiters.

HR Resume Screening AI Agent is a smart ATS that automates resume parsing, ranking, and candidate evaluation using Groq Llama 3. It matches resumes with job descriptions, predicts hiring potential, detects fraud, enables resume chat, and provides visual insights to help HR teams hire faster and smarter.

HR Resume Screening AI Agent is a smart ATS that automates resume parsing, ranking, and candidate evaluation using Groq Llama 3. It matches resumes with job descriptions, predicts hiring potential, detects fraud, enables resume chat, and provides visual insights to help HR teams hire faster and smarter.

A smart Java-based application that uses Natural Language Processing (NLP) to extract skills from resumes, match them with job opportunities, and suggest relevant skills to enhance job prospects. Built with modular components like resume parsing, skill extraction, job recommendation, and suggestion engine.

This is HireMate — your smart resume parsing assistant! HireMate helps recruiters and job seekers by automatically extracting key details from resumes, matching them against job descriptions, and providing accurate match scores. Built with Python, Streamlit, LangChain, and GROQ API, it makes hiring faster, smarter, and easier.

system that parses resumes, matches candidates to jobs, and conducts AI-powered mock interviews using voice and natural language understanding. It bridges smart recruitment with automated evaluation and feedback.

Built a smart application to parse resumes, extract key info (name, skills, experience) using NLP models like Doc2Vec. • Implemented cosine similarity-based matching, generating ranked job matches with quantified relevance scores