{"repo":"gopiashokan/AI-Resume-Analyzer-and-LinkedIn-Scraper-using-Generative-AI","free":true,"listed":false,"github":"https://github.com/gopiashokan/AI-Resume-Analyzer-and-LinkedIn-Scraper-using-Generative-AI","clone":"git clone https://github.com/gopiashokan/AI-Resume-Analyzer-and-LinkedIn-Scraper-using-Generative-AI.git","description":"Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.","language":"Jupyter Notebook","stars":207,"topics":["ai","analyzer","artificial-intelligence","chatgpt","faiss","langchain","large-language-models","linkedin","linkedin-scraper","llm"],"license":"MIT","category":"ai-agents","readme_excerpt":"AI Resume Analyzer and LinkedIn Scraper using Generative AI Introduction Developed an advanced AI application that leverages Retrieval-Augmented Generation (RAG), Large Language Models (LLM), and OpenAI for comprehensive resume analysis. It excels at summarizing the resume, evaluating strengths, identifying weaknesses, and offering personalized improvement suggestions while also recommending the perfect job titles. Additionally, it seamlessly employs Selenium to extract vital LinkedIn data, including company names, job titles, locations, job URLs, and detailed job descriptions. This application simplifies the job-seeking journey by equipping users with comprehensive insights to elevate their career opportunities. Table of Contents 1. Key Technologies and Skills 2. Installation 3. Usage 4. Features 5. Contributing 6. License 7. Contact Key Technologies and Skills - Python - NumPy - Pandas - LangChain - Large Language Model (LLM) - Retrieval-Augmented Generation (RAG) - OpenAI - Selenium - AWS - Hugging Face - Streamlit Installation To run this project, you need to install the following packages: Usage To use this project, follow these steps: 1. Clone the repository: 2. Install the required packages: 3. Run the Streamlit app: 4. Access the app in your browser at Features Easy User Experience: - Resume Analyzer AI makes it easy for users. You can upload your resume and enter your OpenAI API key without any hassle. The application is designed to be user-friendly so that anyone ca","default_branch":null,"files":null,"tree":[],"storefront":"/r/gopiashokan","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gopiashokan/AI-Resume-Analyzer-and-LinkedIn-Scraper-using-Generative-AI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}