Offline, rule-based resume auditor: checks a resume PDF for ATS parse reliability, scores bullet quality against a research-backed rubric, and matches your skills to any job description. No LLMs, no API keys, fully deterministic.

A Python-powered GitHub Star auto-triage engine — classify 100+ starred repos into 7 structured lists, generate dual-language (EN/CN) README navigation portals, with GitHub Actions CI/CD automation.

Outil Python de classification automatique de portfolios GitHub. Taxonomie pour catégoriser repos par domaines techniques (AI/ML, Cloud, DevOps, Frontend, Backend). Analyse descriptions, détecte keywords sur 25 domaines, produit JSON, TSV et rapports Markdown. Idéal pour les ingénieurs logiciel afin d'organiser l'écosystème GitHub à leur sauce.

Java-based ATS resume analyzer that evaluates resumes using keyword matching and scoring logic

A free web app that recommends best-fit GSoC organizations by matching your resume keywords with org descriptions and tech stacks. No data is stored.

Effortlessly transform raw facility lists into rich, researched datasets. This client-side tool combines spreadsheet processing (SheetJS), smart web searching, and weighted keyword matching to help families, researchers, and agencies quickly find and evaluate senior living options with detailed context and direct links.

An end-to-end NLP-based web application that allows users to upload documents (PDF/TXT) and ask questions based on their content through an interactive UI.

n8n Verified Workflow: Turn a GitHub JSON knowledge base into a Telegram RAG chatbot with Qwen via OpenRouter. Zero vector DB, zero retrieval cost.

Secure Contract Management System built with Spring Boot, Spring Security, JWT, MongoDB, and Apache Tika featuring role-based access control and contract Q&A.

Compare resume and JD skills, detect missing keywords, and improve your chances of getting shortlisted.

An intelligent, Streamlit-based application that rewrites and optimizes resumes to better align with job descriptions using GPT-4. It provides keyword match scores, skill alignment analysis, and generates a professionally tailored PDF resume.

Basic Rule-Based Campus Chatbot – A simple rule-based campus assistant built with Next.js that answers student queries using predefined keywords and fixed responses.

Scores how well a company's public language matches UNC department priorities. FastAPI backend, React frontend, batch PDF pipeline. Outputs JSON, Markdown, and PDF alignment reports.

YouTube Comment Reply Bot Android automation

📄 AI-powered Resume Screener that analyzes PDF resumes against job descriptions using ATS keyword matching, TF-IDF vectorization, cosine similarity, and NLP techniques to generate match scores and improvement suggestions.

Keyword-matching chat bot with multi-language support

Rule-based Python chatbot inspired by the Oracle of Delphi

ATS Resume Analyzer that evaluates PDF resumes against job descriptions using deterministic scoring, keyword matching, skill-gap detection, and downloadable PDF reports.

Ai_Resume_Analyzer