AI-Powered Job Matching Platform | Recruitment Tech Case Study

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Project Overview:

This Platform is an intelligent job-search platform designed to bridge the gap between job seekers and their career goals. The platform goes beyond traditional job boards by understanding each candidate's unique profile through advanced resume parsing, skill extraction, and adaptive micro-surveys. It identifies skill gaps, recommends personalized learning paths, and matches users with relevant opportunities based on their evolving capabilities. With AI-driven insights powered by Google's Gemini models and LangChain agentic workflows, This Platform transforms the job search experience into a guided, data-informed journey toward employment success.

Business Industry:

Career Development

HR Tech

Services:

Web Application

Impact we Created

70%

reduction in time spent identifying relevant job opportunities through AI-powered semantic matching.

85%

of users gained clarity on their skill gaps within the first session, compared to weeks of traditional self-assessment.

3x

increase in application quality scores, with candidates better aligned to job requirements before applying.

Challenge:

Resume Parsing Complexity
Dynamic Skill Gap Identification
Personalized Job Matching at Scale
Adaptive User Profiling
Real-Time AI Processing & Performance
Micro-Learning Integration

Solutions:

Intelligent Resume Parser with Gemini 2.5 Flash
LangChain Agentic Workflows for Skill Analysis
RAG-Powered Job Matching with Pinecone
Adaptive Micro-Survey Engine
Optimized Cloud Infrastructure on GCP
FastAPI for High-Performance APIs
AI-Driven Micro-Learning Recommendations
Kokoro TTS for Enhanced Accessibility

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