AI-powered, open-source platform that tracks job applications automatically by parsing job emails. Built with Spring Boot & Angular.

ResumeAIQ is a full-stack AI resume analysis platform that uses FastAPI and Google Gemini to deliver ATS scoring, AI summaries, RAG-based Q&A, and job matching with a modern React + Vite frontend. Docker-ready for seamless deployment.

Local docker desktop environment for career development

AI Agents system using CrewAI to identify former elite swimmers in key tech positions.

SRM Career Catalyst uses AI and a knowledge base of 220+ successful alumni resumes to give students personalized, data-driven feedback on aligning their resumes with proven placement patterns.

CLI toolkit to evaluate GitHub portfolios (17 criteria) with transparent scoring, profile-based recalibration, and job-fit gap analysis.

An AI-powered job application co-pilot that analyzes job descriptions, optimizes resumes, identifies keyword gaps, and generates structured application guidance to improve interview conversion rates.

Autonomous AI Growth Engine for high-velocity job discovery and career optimization. Built with LangGraph, Python, and Agentic Workflows.

AI-powered ATS resume builder built with Spring Boot. Features resume parsing, keyword optimization, scoring engine, and PDF generation for modern job seekers.

Full-stack, API-first AI career intelligence engine that parses resumes, redacts PII for bias-aware scoring, extracts skills, computes semantic match percentages using transformer embeddings, ranks candidates, and generates explainable insights. Built with FastAPI, Sentence Transformers, PostgreSQL, and a minimal React frontend.

SkillSprint is a full-stack AI-powered skill analysis platform that evaluates resumes, extracts key competencies, and provides intelligent insights to help users improve job readiness using modern AI models.