IIT Jobs | Case Study

We developed a semantic search implementation to find jobs online.

Overview

IIT Jobs, a boundary-breaking job board, empowers individuals to discover new opportunities. They faced the challenge of creating a semantic search solution to enhance job discovery regardless of the job’s nature or location. Our team crafted a web application for IIT Jobs, seeking and presenting pertinent online job postings tailored to your preferred role and location, enhancing your job search experience.

Problem

Challenges in Job Discovery

IIT Jobs sought to create a semantic search solution, facing hurdles in enabling individuals to discover improved job opportunities, regardless of job type or location.

Enhancing Universal Job Access

The challenge involved developing a solution that enhances universal access to job opportunities, ensuring a seamless and effective job search experience for users.

Solution

Search Module Enhancement

Our team enhanced the Search Module, refining the algorithm for more precise internet searches. This improvement ensured better identification of job posting URLs, contributing to an enhanced job search experience for IIT Jobs users.

Scraper Module Optimization

Our team optimized the Scraper Module, enabling it to extract data from diverse websites efficiently. Unlike conventional services, we enhanced the module to recognize data as coherent chunks, ensuring more effective information extraction.

Information Extraction Refinement

We fine-tuned the Information Extraction Module, implementing intelligent filtering to eliminate irrelevant content. By incorporating a Named Entity Recognizer, our team created a comprehensive dictionary for key data points like job titles, enhancing data accuracy.

Application Module Streamlining

We streamlined the Application Module, enhancing its efficiency for user interaction. Our improvements ensured smoother processing of user queries, making IIT Jobs a standout platform that didn’t burden users with specific locations, job titles, or company inputs.

Results

The newly developed job portal brought tailored results by directly scraping the internet, aligning with specific needs. We enhanced information extraction techniques, introduced a chat mechanism for result refinement, and allowed users to add multiple resumes. These improvements positively impacted IIT Jobs, elevating user satisfaction and expanding the platform’s appeal.