A Streamlit-based web app that uses OpenAI's GPT-4o-mini to analyze resumes and provide personalized, AI-generated feedback. Built as a practice project to explore NLP, PDF parsing, and API integration.

Built an AI-powered resume critique web app using Python, Streamlit, and Google Gemini API

The AI Resume Critiquer is a tool where a user uploads their resume, and the AI analyzes it to provide feedback and improvement suggestions. TechStack : Python, LangChain, OpenAI API, and Streamlit

AI Resume Critiquer is a Python and Streamlit-based web app that analyzes resumes using OpenAI GPT models. It extracts text from PDFs, evaluates clarity, skills, and structure, and provides smart, personalized improvement suggestions instantly.

Developed an AI-powered Resume Critiquer using Python and Streamlit that analyzes PDF/DOCX resumes for ATS compatibility, skills, and formatting, providing a quality score, improvement suggestions, and an interactive dashboard for real-time optimization.

📁 3-Beginner-AI-Projects This repository contains three beginner-friendly AI projects developed using Python in a virtual environment. Each project is designed to help newcomers understand the fundamentals of AI through hands-on coding. Project-1: AI Chatbot ,Project-2: AI Resume Critiquer , Project-3: AI Image Identifier

Developed a Python-based AI Resume Critiquer using Streamlit and OpenAI APIs. Built document ingestion and text extraction pipelines for PDF, DOCX, RTF, TXT, and HTML using PyPDF2, python-docx, and BeautifulSoup. Implemented prompt-based NLP analysis, resume validation, scoring, and skill-gap recommendations with curated learning resources.

An AI-powered resume critique web application built with Python and Streamlit. Users can upload their PDF or text resumes and receive intelligent, role-specific feedback generated by OpenAI's language model.

This repository contains three beginner‑friendly Python AI projects built step‑by‑step from a YouTube tutorial. The projects include an AI Agent, a Resume Critiquer, and an Image Classifier. Each project uses popular AI/ML libraries like LangChain, Streamlit, TensorFlow, OpenCV, and the OpenAI API to demonstrate real‑world AI application concepts

Python project that utilizes OpenAI’s API and the Streamlit library to create an AI Agent that specializes in resume advice and critique. Hosted locally on a web browser, where the user can interact with a generated UI to receive resume feedback.

AI-powered Resume Critique app built with Python, Streamlit, and OpenAI’s GPT models. Upload your resume (PDF or TXT) and receive instant, structured feedback tailored to your target role. The app analyzes clarity, impact, and alignment with job requirements, then provides actionable recommendations to help job seekers strengthen their applications