I’m Raj Chintawar, an undergrad in Computer Science & Engineering (Data Science) at GHRCEM, Pune,
aka I break things(unintentionally/intentionally) and then fix them.
I build things on the web that actually make sense. I work mainly with the MERN stack React for clean, responsive UIs, Node.js & Express for backend muscle, and MongoDB to keep data from going feral.
I can code in Java, Python, and C++ for problem Solving.
I’ve built multiple Python and web projects, learned teamwork through internships, and stay active in tech communities because shipping alone is boring.
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Title: Stock Portfolio Management base system
Stockie-Mng is a modern, full-stack stock portfolio management platform powered by AI suggestions. Built using React, Node.js, MongoDB, and OpenAI, the project helps users create, analyze, and optimise their investment portfolios with ease.
Title: ATS Focused Resume Analyzer
Built to analyze resumes the way Indian recruiters actually do — fast, strict, and unforgiving. An AI-powered system that flags resume red signals, skill mismatches, and weak project claims before a recruiter ever sees them. Designed around Indian MNC and startup hiring patterns, not generic global templates. Simulates real ATS and recruiter screening logic to deliver clear shortlist or reject verdicts. Brutally honest resume feedback with zero motivational nonsense.
A Python-based face recognition attendance system using OpenCV, DeepFace, TensorFlow, NumPy, and Pandas. It captures faces via webcam, detects and verifies them in real time, and records attendance with date and time in a CSV file. A virtual environment is used to manage dependencies and ensure smooth setup.
Title: Vehicle Detection & Motion Detection
This Python project detects and counts vehicles in a video using OpenCV. It applies background subtraction to identify moving objects, filters them by size, tracks their center points, and increments a counter when they cross a set line. The result is displayed in real-time with bounding boxes and a count overlay.