My Work
A collection of robust machine learning pipelines, full-stack applications, and experimental AI interfaces designed for impact.

QuickDrop is a local-first peer-to-peer file sharing and messaging platform inspired by Snapdrop, designed for seamless communication across devices on the same network. Built with Next.js, FastAPI, WebSockets, and WebRTC DataChannels, the application enables secure real-time chat and high-speed file transfers without relying on cloud storage or user accounts, delivering a fast and privacy-focused sharing experience.

ManageIt is a modern task and project management platform built to help individuals and teams organize workflows, manage deadlines, and improve productivity. Developed with Next.js, Prisma, MongoDB, and Auth.js, the application provides secure authentication, efficient task tracking, and a clean user experience optimized for scalability and collaboration.

AI-Smart-HR-Management is an AI-powered recruitment platform designed to automate and streamline the hiring process for organizations. Built using Next.js, FastAPI, LangChain, and DeepSeek via Ollama, the platform enables job posting, candidate applications, resume analysis, and AI-generated assessments, creating an end-to-end intelligent recruitment workflow.

Medical Detection Hub is an AI-powered healthcare application designed to assist in the early detection of skin cancer and pneumonia through medical image analysis. Built with Django and TensorFlow, the platform processes uploaded images using fine-tuned deep learning models based on the VGG-16 architecture, delivering accurate predictions through an accessible and user-friendly interface.

Developed an AI-powered Automatic Number Plate Recognition (ANPR) system using YOLOv8 and OCR technologies for real-time vehicle identification. The system detects and extracts vehicle registration numbers from images and video streams using OpenCV and Tesseract OCR, providing accurate and efficient automated license plate recognition.

E-Voting is a secure cross-platform voting application developed to modernize and simplify the election process for educational institutions. Built using Next.js, Electron, FastAPI, and PostgreSQL, the system supports real-time vote tracking, authentication, and seamless desktop integration while delivering a reliable and intuitive user experience.

Rumi is an AI-powered student learning platform designed to help students track progress, improve study habits, and stay academically organized. The platform provides personalized insights and smart recommendations through an intuitive dashboard experience focused on productivity, performance monitoring, and goal-oriented learning.