ApplyEasy – AI-Powered Job Fit & Interview Prep Assistant
Web app that compares resumes against job descriptions to score job fit, reveal skill gaps, and streamline interview preparation. Developed a resume-JD matching engine, AI-style resume coach, and browser-based voice interview practice with transcript-style feedback. Reduced manual review by 70% and enabled 2–3 tailored applications per role. Technologies: HTML5, CSS3, JavaScript, Node.js, Express, jsPDF, Web APIs, Render.
MoneyLeaks – AI-Powered Personal Finance Analyzer
Web app that parses bank, UPI, and card statements to expose hidden money leaks with visual insights and AI budgeting advice. Built a Next.js and FastAPI pipeline for 1,000+ transactions per upload, rule-based spending categorization, merchant name extraction, Recharts dashboard, and Gemini-powered financial tips. Technologies: Next.js, React, TypeScript, Tailwind CSS, FastAPI, Python, pdfplumber, Tesseract OCR, Recharts, Google Gemini, Render.
ADAS Image Dehazing System
Python-based computer vision project focused on improving ADAS image visibility and object detection by removing haze. Created a Python-Streamlit app using DCP and CAP algorithms, engineered a five-stage OpenCV dehazing pipeline, and added batch-processing support for 100+ image datasets. Technologies: Python, OpenCV, NumPy, SciPy, Streamlit, Pillow, Matplotlib, PyTorch, torchvision.