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An AI-powered resume screening and optimization tool that analyzes resumes against job descriptions to generate accurate match scores, skill gap insights, and actionable improvement suggestions for both recruiters and job seekers.
A modern, AI-powered web application that analyzes your resume and recommends personalized jobs from LinkedIn and Naukri.com. Featuring a beautiful gradient UI, glassmorphism effects, and seamless user experience.
A Retrieval-Augmented Generation (RAG) app for chatting with content from uploaded PDFs. Built using Streamlit (frontend), FAISS (vector store), Langchain (conversation chains), and local models for word embeddings. Hugging Face API powers the LLM, supporting natural language queries to retrieve relevant PDF information.
Resume Smart ATS is an innovative web application designed. Users simply copy and paste job descriptions from platforms like LinkedIn,Indeed, then upload resumes to the web app. By click on Submit button, Resume Smart ATS analyzes the resumes against the job description, providing users with valuable insights such as JD match perce
Automated CV filtering system written in Python. The script extracts text from PDF, DOCX, and TXT files, checks for predefined keywords, and automatically sorts CVs into "match" and "do_not_match" folders.
Herramienta para automatizar tareas como eliminar archivos duplicados, organizar archivos por tipo, redimensionar imágenes, convertir formatos, extraer audio de videos, fusionar PDFs y renombrar archivos.
objective -Implimention of end-to-end automation testing of a Ecommerce application using seleniumwebdriver+python+framewors .The developed Framework is Keyword and data driven.
Effortlessly interact with your PDF files using LangChain and ChatGPT API! This app lets you upload PDFs, process them into searchable text, and ask detailed questions based on the document content.