Fog-based Healthcare System
An exploration of fog-computing architecture applied to healthcare — pushing latency-sensitive health data processing closer to the edge rather than relying solely on centralized cloud infrastructure.
A selection of projects across machine learning, computer vision, full-stack web, and academic systems. All source on github.com/shreedkt.
A secure authentication system that uses facial recognition to verify users — built to explore how computer-vision models can replace or augment password-based flows. The pipeline combines face detection, feature encoding, and a matching layer against a stored user database.
A computer-vision system that detects and classifies human facial emotions in real time, deployed on a cloud backend for scalable inference. End-to-end — from model training on labelled emotion datasets through to a working deployed pipeline.
An exploration of fog-computing architecture applied to healthcare — pushing latency-sensitive health data processing closer to the edge rather than relying solely on centralized cloud infrastructure.
Complete banking management system with account creation, transactions, balance management, and administrative controls. Built end-to-end as the capstone project for the MCA programme.
CRUD-based library management system for managing book inventory, member records, issues, and returns. Built in Java as a study in object-oriented design.
A pixel-level recreation of the Myntra home page built without any frameworks — pure HTML5 and CSS only. An exercise in responsive layout, flexbox, and attention to real-world design detail.
A working repository of PHP learning exercises and examples built while preparing teaching material and following through structured tutorial content.
Editorial-style portfolio hosted on GitHub Pages. No frameworks, no JavaScript — pure HTML, CSS, and a typographic point of view. Source is public.
My work currently clusters around four areas — scalable web applications, AI-based systems (particularly computer vision and healthcare), backend APIs & services, and academic & learning tools that help me teach better.
I am open to collaboration on applied AI research — especially projects that apply computer vision to real Indian context problems (healthcare, education, authentication) and on open-source academic tooling.