JobHub
JobHub is an AI-powered job portal that connects job seekers with employers through smart job matching, resume analysis, and real-time recommendations. It features an ATS for recruiters.
Created on 22nd March 2025
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JobHub
JobHub is an AI-powered job portal that connects job seekers with employers through smart job matching, resume analysis, and real-time recommendations. It features an ATS for recruiters.
The problem JobHub solves
JobHub solves key challenges in the job market by helping job seekers become job-ready while assisting recruiters in finding the right talent efficiently.
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Unprepared Candidates – Many job seekers struggle with interviews. JobHub’s AI-powered mock interview feature provides real-time feedback, helping candidates improve their responses and confidence.
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Weak Resumes – Poorly structured resumes reduce job opportunities. The AI Resume Analyzer reviews and suggests improvements, ensuring better visibility and higher chances of selection.
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Mismatch in Job Search – Generic job portals overwhelm users with irrelevant listings. JobHub’s smart job matching suggests relevant jobs based on skills, experience, and preferences.
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Hiring Inefficiency – Recruiters spend too much time filtering resumes. JobHub’s AI-driven applicant tracking system (ATS) streamlines candidate shortlisting.
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Lack of Skill Validation – Resumes don’t always reflect true abilities. Skill-based assessments help employers verify candidates' expertise beyond just resumes.
Challenges we ran into
Challenges We Ran Into While Building JobHub
Developing an Accurate AI Resume Analyzer – Ensuring the AI correctly evaluates resumes and provides meaningful suggestions was challenging. We had to fine-tune models to detect strengths, weaknesses, and optimization areas.
Creating a Realistic Mock Interview System – Implementing an AI-driven interview feature required training it to analyze responses, tone, and structure while providing constructive feedback. Balancing realism and accuracy was a major hurdle.
Smart Job Matching Algorithm – Building an effective job recommendation system required designing an algorithm that accurately maps job seeker skills with employer requirements. Fine-tuning it for relevance was time-consuming.
Ensuring Scalability & Performance – Handling multiple job applications, resume analyses, and real-time interactions required optimizing backend performance and database efficiency.
Enhancing User Experience (UX) – Creating an intuitive UI that is easy to navigate for both job seekers and recruiters while incorporating complex AI features was a major design challenge.
Data Security & Privacy – Ensuring secure handling of resumes, interview responses, and user data was critical. We implemented strong authentication and encryption to protect user privacy.
Technologies used