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ReferralShala is an innovative platform designed to streamline the job referral process by seamlessly connecting job seekers with employers through trusted professional networks.

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ReferralShala

ReferralShala is an innovative platform designed to streamline the job referral process by seamlessly connecting job seekers with employers through trusted professional networks.

Technologies Used

  • Frontend: Next.js, JavaScript, CSS
  • Backend: Prisma, Neon, PostgreSQL, Supabase, Nodemailer
  • Authentication: Clerk
  • APIs: RESTful APIs for real-time data synchronization

Features

  • User Authentication with Clerk
    Integrated Clerk authentication to manage two types of users: Employers and Candidates. Implemented secure authentication and authorization workflows, ensuring smooth user sessions and role-based access control.
    User Authentication

  • Fully Responsive Job Referral Platform
    Built a mobile-friendly and fully responsive user interface to provide seamless navigation across all devices. Ensured an optimized experience with fast loading times and smooth interactions.
    Responsive Design

    • Advanced Filtering and Search for Referrals
      Implemented an advanced filtering system allowing users to refine job searches based on parameters like job title, company, location, and experience level. This ensures candidates find the most relevant opportunities effortlessly.
      Referral Filtering
  • Comprehensive UI/UX Dashboards
    Developed dedicated dashboards for Employers and Candidates. Employers can post job openings, manage referrals, and review applications, while Candidates can explore opportunities, apply for referrals, and track their progress.
    Dashboard

  • Real-Time Data Synchronization with RESTful APIs
    Integrated dynamic APIs to enable real-time updates for job postings and application statuses. Users get instant access to new opportunities without needing to refresh the page.
    Real-Time Sync

  • High-Performance Database with Prisma, Neon, and PostgreSQL
    Optimized database operations using Prisma ORM, Neon, and PostgreSQL to enhance data retrieval speeds. Achieved a 20% reduction in query response time, ensuring a smooth user experience.
    Database Optimization

  • Automated Email Notifications via Nodemailer
    Configured automated email alerts for job referral updates. Employers receive candidate profiles upon referral submissions, and Candidates get instant notifications about their application status.
    Email Notifications

About

ReferralShala is an innovative platform designed to streamline the job referral process by seamlessly connecting job seekers with employers through trusted professional networks.

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