🚀 EdgeCareer – AI-Powered Career Coach Full Stack AI Career Coach built with React 19 + Next.js 15, Tailwind CSS, NeonDB, Prisma, Clerk Authentication, Inngest, Gemini API, and Shadcn UI. A cutting-edge AI-driven career platform that provides personalized job recommendations, AI resume reviews, and real-time career insights to help users

According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.

AI Resume Builder is a web application that helps users create professional resumes using AI-powered suggestions. It offers customizable templates, real-time previews, secure authentication, and PDF export. Built with React, Node.js, and MongoDB, it simplifies resume creation with an intuitive UI and smart content recommendations for job seekers 🚀

This Repository contains AI Resume Analyzer that utilizes PDF parsing, database management, SQL-Python integration, and data extraction from PDFs. It offers skill recommendations and suggests videos and lectures for skill enhancement, aiming to enhance resume quality and job prospects.

A project that uses NLP to extract skills and degree from resumes and job postings. The results are matched using the jaccard index to come up with a matching score which is used to come up with job recommendations based on an individuals resume.

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ATS Resume Tracker leverages Google Generative AI to optimize resumes against job descriptions, offering match percentages and skill enhancement recommendations. Easily upload and analyze PDF resumes to increase your chances of landing your dream job!

An advanced real time job recommendation system and resume analyzer and Analyzes the resume and suggest the jobs based on resume using real time data.

Automated Resume Screening System (With Dataset) A web app to help employers by analysing resumes and CVs, surfacing candidates that best match the position and filtering out those who don't. Description Used recommendation engine techniques such as Collaborative , Content-Based filtering for fuzzy matching job description with multiple resumes. Prerequisites Software textract==1.6.3 requests==2.22.0 Flask==1.1.1 gensim==3.8.0 sklearn==0.0 PyPDF2==1.26.0 autocorrect==0.4.4 nltk==3.4.5 contractions==0.0.21 textsearch==0.0.17 inflect==2.1.0 numpy==1.17.2 pdfminer.six==20181108 Python 3.6.0 |Anaconda 4.3.0 (64-bit)| Dataset Link1 : https://s3.ap-south-1.amazonaws.com/codebyte-bucket/Resume%26Job_Descriptions.zip Mirror : https://drive.google.com/open?id=17M9oDPip5JFFFNJhDCBQKy8BMqoyxajU Running localhost Run pip install -r requirements.txt to install dependencies Simply run this command from root directory. Login Username :admin Password : whitetigers2018 python app.py Running using Docker Create the docker image running: docker build -t arss . Run the container: docker run -it -p 5000:5000 arss

In order to address the lack of an intelligent and adaptive Job Recommendation Portal, the idea to create a website—Ajivika (literal meaning: career)—has been presented. This website covers features like Resume Making, Smart Job Recommendations, and Best Suggestions for Courses.

Jobox is a website that makes it easy for job seekers to find the best jobs based on their resume or CV. We provide job recommendations by matching applicants' skills and job descriptions using artificial intelligence.

AI-Powered Job Recommendation System An intelligent job recommendation system that analyzes PDF resumes and suggests the best job opportunities using NLP, FAISS, and Sentence Transformers.

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**AI-Powered Job Portal**: A MERN stack app where users upload resumes, parsed by NLP to extract skills and experience, enabling AI-driven job recommendations. Job seekers can search, apply, and track applications, while recruiters post jobs and view ranked candidates. Features include JWT auth, intelligent search, and optional AI career tools.

Code repository for paper "CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations" published in Expert Systems With Applications (2025)..

PrepNexus is an AI-driven system using a fine-tuned RoBERTa model for resume analysis and job role recommendations, built a LangChain-ChromaDB powered interview chatbot with LLaMA-3 (8B) for real-time technical Q&A, and implemented a BeautifulSoup-based job scraping pipeline to enhance job search efficiency by 40%.

Resume and Job Recommendation System

An AI-powered job portal with resume screening, AI job matching, and real-time chat using React, Node.js, PostgreSQL, and Docker. Deploy on Azure AKS with AI-driven recommendations & analysis. 🚀

100XGROW is a next-gen career platform designed to simplify job searching. Powered by AI, automation, and data insights, it helps users build ATS-friendly resumes, get job recommendations, receive mentorship, and track applications—all in one place!

The AI Resume Analyzer is a Streamlit-based application that provides detailed resume analysis, skill recommendations, job search tools, and career insights. Utilizing NLP and machine learning, it helps users identify strengths and improvement areas, suggest relevant courses, and find job opportunities tailored to their profiles.

upload your resume than get your job recommendation

An intelligent resume analysis and job recommendation system

Our project develops a resume match recommendation engine leveraging distilBERT. This system will efficiently analyze a user's resume using distilBERT's pre-trained language understanding to determine the most relevant job matches for the candidate.

AI-powered resume-to-job matching system with LinkedIn integration. Upload resume + LinkedIn URL → get instant AI match analysis with scores, missing skills & recommendations. Multi-LLM support (GPT-4, Claude, Gemini). Built with FastAPI, PostgreSQL+pgvector, Redis, Docker.

AI-powered tool that optimizes resumes for Applicant Tracking Systems. Analyzes job postings, tailors your resume to match requirements, and formats it to pass ATS filters. Generates personalized recommendations and interview questions. Available as local app or Docker container.

PlacedAI is an AI-powered placement platform for Indian students. It offers mock AI interviews, ATS resume scoring, resume builder, job recommendations, progress insights, premium upgrade system, and an admin dashboard—built with modern UI, animations, and a scalable backend.

Teams can post their projects here.

A web client that provides job recommendations, job ratings and a resume scanner for students looking for employment after university.

Resume and Job Recommendation System

🛠 Extract skills from job descriptions and match candidates with relevant resumes using this NLP-powered recommendation engine.