JobFit AI - AI-Powered Recruitment Platform

Overview JobFit AI is a data-driven recruitment platform designed to help organizations match candidates to roles based on skills, experience, and cultural fit. The platform uses AI-powered insights to streamline hiring, reduce bias, and optimize talent acquisition workflows for HR teams and recruiters Technology Stack

Backend: Python, FastAPI, PostgreSQL

Frontend: React, Tailwind CSS

AI & ML: MagicPath, OpenAI API, scikit-learn, NLP models for resume parsing and candidate matching

Cloud & Infrastructure: AWS (EC2, S3, Lambda), Docker, CI/CD with GitHub Actions

Analytics: Power BI & custom dashboard

Requirement Gathering: Collaborated with HR teams to understand hiring challenges and define candidate-job fit metrics.

Data Collection & Integration: Aggregated historical hiring data, resumes, and job descriptions into a centralized data lake.

AI Model Development with MagicPath: Leveraged MagicPath to streamline candidate-job matching, generate contextual insights, and prioritize candidates effectively.

Frontend & Dashboard Development: Built recruiter dashboards for fit scores, AI recommendations, and actionable insights.

Testing & Iteration: Conducted multiple rounds of user testing to refine AI outputs, dashboards, and user workflows. Explanation JobFit AI uses MagicPath to analyze resumes and job descriptions with advanced NLP, generating accurate fit scores and recommendations. Recruiters can quickly identify top candidates, understand skill gaps, and make data-driven decisions. MagicPath’s contextual analysis also helps reduce bias and surface hidden talent, while dashboards allow seamless filtering, sorting, and comparisons. Results

Reduced candidate screening time by 45%

Increased candidate-job match accuracy by 35%

Enhanced recruiter efficiency with AI-assisted recommendations

Supported data-driven hiring decisions, improving retention and team performance metrics