noran-mohamed / Resume-Classification-DatasetLinks
The dataset comprises resumes collected from various sources, including Google Images, Bing Images, and the website LiveCareer. Each resume entry consists of two columns: "Category" and "Text".
☆38Updated 8 months ago
Alternatives and similar repositories for Resume-Classification-Dataset
Users that are interested in Resume-Classification-Dataset are comparing it to the libraries listed below
Sorting:
- multi-labeled dataset of resumes☆89Updated 4 years ago
- ☆39Updated 3 years ago
- Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classifi…☆54Updated 3 years ago
- OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve a…☆76Updated last year
- AI models for automatic job application pipeline (user CV, job description analysis (customized NER/SpaCy) and artificial cover letter ge…☆36Updated last year
- A complete overview and insights into AI-Text detection using the powerful BERT(Bi-directional encoder representation transformer) to pr…☆56Updated last year
- ☆59Updated last year
- This app is designed to assist applicants in searching for potential jobs and to help recruiters find talented candidates.☆10Updated 3 months ago
- Fine-Tuning Falcon-7B, LLAMA 2 with QLoRA to create an advanced AI model with a profound understanding of the Indian legal context.☆80Updated last year
- This repository will consist of advanced RAG applications.☆34Updated 10 months ago
- Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.☆72Updated 11 months ago
- About AI Resume Screening is a tool that uses artificial intelligence to automate the process of resume screening and shortlisting. The t…☆13Updated last year
- Question Answer Generation App using Mistral 7B, Langchain, and FastAPI.☆65Updated last year
- ☆42Updated last year
- Our project on GitHub offers a versatile resume parsing tool. It provides two methods for extracting information: a straightforward appro…☆37Updated last year
- The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarit…☆122Updated 2 years ago
- Fine-tuning a Hugging Face BERT model for the United Nations Named Entity Recognition task.☆34Updated 3 years ago
- Automated PDF and text processing with Spacy and NLTK; information extraction from text based on grammatical structure; deployed on extra…☆16Updated 3 years ago
- An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.☆128Updated 5 months ago
- This repository contains the relevant materials for the tutorial "Legal IR and NLP: the History, Challenges, and State-of-the-Art", held …☆41Updated 2 years ago
- Resume parser with ner using state of art in deep learning with transformers specifically bert.☆38Updated 2 years ago
- Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipe…☆48Updated 8 months ago
- Legal document similarity - Code, data, and models for the ICAIL 2021 paper "Evaluating Document Representations for Content-based Legal …☆32Updated 4 years ago
- Mistral + Haystack: build RAG pipelines that rock 🤘☆105Updated last year
- This is an end to end machine learning project served on Flask for parsing and ranking candidates based on similarity scores between resu…☆18Updated 3 months ago
- Resume and CV Summarization and Paring with Spacy in Python☆93Updated 2 years ago
- AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate…☆61Updated 10 months ago
- Applying BERT for named entity recognition on resumes.☆66Updated last year
- Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.☆26Updated last year
- Controllable-RAG-Agent using Langgraph☆18Updated 10 months ago