Tekarsh Website

Tekarsh Website is a company's official website designed to showcase their services and provide a platform for job seekers to explore opportunities. The platform offers a user-friendly interface for browsing job listings, submitting applications and managing profiles using AI-powered tools.

Tekarsh Website — screenshot 1
Tekarsh Website — screenshot 2
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Solo Developer (Intern Project)
3 weeks
Live
Live DemoSource Code
Overview

About this project

Tekarsh Website is a full-featured recruitment and staffing platform developed as an intern project for Tekarsh, a growing recruitment company. The platform serves both as the company's primary digital presence and as a functional job portal with AI-powered resume screening.

The public-facing side presents the company's staffing services, company culture, client testimonials, and a dynamic job board where candidates can search, filter, and apply for positions. The interface is built with Next.js for optimal performance and SEO, ensuring the company ranks well for recruitment-related searches.

Behind the scenes, an admin panel equipped with NLP-based resume parsing technology automatically ranks and filters incoming applications. Recruiters can quickly identify top candidates without manually screening every submission — a feature that significantly reduced initial filtering time during the pilot phase.

Delivery within a tight 3-week timeline required focused sprint planning and ruthless prioritization. Role-based authentication cleanly separates public users, job applicants, and admin users, each with appropriate permissions and interfaces.

Tech Stack

Technologies used

Frontend
Next.js

Next.js

React framework with SSR, ISR, and App Router

TailwindCSS

TailwindCSS

Utility-first CSS framework for rapid styling

Backend
Node.js

Node.js

JavaScript runtime for server-side applications

Express.js

Express.js

Minimal web framework for Node.js APIs

Database
Supabase

Supabase

Open-source Firebase alternative with PostgreSQL

PostgreSQL

PostgreSQL

Advanced relational database with strong integrity

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