AI-Driven Recruitment Portal

Tech Stack: React, Node.js, PostgreSQL, RAG

Background: A recruitment agency aimed to match candidates with job openings using AI.

Challenge: Manually matching resumes to job descriptions was time-consuming.

Solution: RAG technology was used to create an intelligent search engine, with React for the frontend, Node.js for the backend, and PostgreSQL for storing job and candidate data.

Impact:

• Efficiency: Reduced candidate matching time by 70%.
• Placements: Increased successful matches by 35%.
• User Satisfaction: Positive feedback from 90% of users.

Tech Stack: React, Node.js, PostgreSQL, RAG Background: A recruitment agency aimed to match candidates with job openings using AI. Challenge: Manually matching resumes to job descriptions was time-consuming. Solution: RAG technology was used to create an intelligent search engine, with React for the frontend, Node.js for the backend, and PostgreSQL for storing job and candidate…

Tech Stack: React, Node.js, PostgreSQL, RAG Background: A recruitment agency aimed to match candidates with job openings using AI. Challenge: Manually matching resumes to job descriptions was time-consuming. Solution: RAG technology was used to create an intelligent search engine, with React for the frontend, Node.js for the backend, and PostgreSQL for storing job and candidate…