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

An intelligent career platform leveraging AI to evaluate resumes against job descriptions. It provides deep ATS optimization, actionable feedback, and personalized scoring to help job seekers enhance their applications and land interviews.

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.

SkillBridge is a real-time career gap intelligence platform that analyzes resumes against job descriptions using an event-driven architecture. It combines vector similarity, a PyTorch re-ranker, and RAG-based LLMs to generate learning roadmaps, resume improvements, and an interview readiness score.

Local docker desktop environment for career development

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

A smart hiring platform that matches candidates to jobs using context-based resume and job analysis, providing clear, explainable fit scores and transparent insights for both recruiters and candidates.

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

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

Backend for STARLPrep.AI — a mode-based STARL interview coaching copilot (polish, guided build, follow-up simulation) with guardrails to avoid fabricated metrics.

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.

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.

Built an AI-powered resume screening system that parses resumes, auto-detects job roles, and ranks candidates based on skill, experience, and education match using Python and Streamlit.

AI-powered career intelligence system that performs resume–job skill gap analysis using NLP techniques including TF-IDF, cosine similarity, and ranking algorithms to generate data-driven career insights.

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

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.

ATS resume analyzer for AI Career Suite with deterministic scoring, Stitch-based UI, and Groq/Ollama fallback

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.