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A AI-based job portal that is made using Firebase, Express, Node and React. The job portal has a AI-based resume parser and grader that gives assesses a student based on experience, projects and education. This helps the recruiter in selecting candidates appropriate for the job.

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๐Ÿš€ JobSuccess.AI โ€“ AI-Powered Resume Evaluation & Job Application Platform JobSuccess.AI is a full-stack web application that empowers job seekers and recruiters by using AI to streamline resume evaluation and application management. The platform allows candidates to apply for jobs and enables recruiters to post openings, manage applicants, and get intelligent resume insights with the help of AI.

๐Ÿ”ง Tech Stack Frontend: React.js, Redux, Firebase Authentication

Backend: Node.js, Express.js, Google Gemini APIs

DevOps & Storage: Jenkins (CI/CD), AWS S3 (Resume Storage)

Database: Firebase Realtime Database / Firestore

๐ŸŒŸ Key Features ๐Ÿ” Secure User Authentication with Firebase Auth (for recruiters and candidates)

๐Ÿ“„ Resume Upload and Scoring using Google Gemini APIs to evaluate resumes based on skills, experience, and education

๐Ÿ“Š AI-Generated Recruiter Insights for each applicant

๐Ÿ“ Secure Resume Storage using AWS S3

โš™๏ธ Automated CI/CD Pipelines with Jenkins for smooth deployments

๐Ÿง  Scalable and Modular Architecture built for production use

๐Ÿ“ˆ Impact 1,000+ candidates have applied through the platform

100+ recruiters have posted jobs and used AI insights

Reduced recruiter screening time by 50%+ through automated resume scoring

๐Ÿ› ๏ธ Setup Instructions Clone the repo

Set up Firebase and AWS credentials

Run backend server using Node.js

Start the frontend using npm start from the React client

Configure Jenkins or GitHub Actions for CI/CD (optional)

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A AI-based job portal that is made using Firebase, Express, Node and React. The job portal has a AI-based resume parser and grader that gives assesses a student based on experience, projects and education. This helps the recruiter in selecting candidates appropriate for the job.

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  • JavaScript 80.6%
  • CSS 17.6%
  • HTML 1.8%