Asia/Kolkata

Projects – Vijay Makkad

Digital Playground

Ideas Brought to Life

Selected projects and case studies by Vijay Makkad
TensorFlow

Video Action Recognition

CNN-based action recognition model using MovieNet architecture for Samsung Prism. Achieved 97% training accuracy on compressed video datasets.
React.js

MingleMate

Real-time chat app supporting 100+ concurrent users with Tailwind CSS, DaisyUI, secure JWT auth, and optimized MongoDB queries.
React Native

SpeakEasy App

Real-time voice translator with 95% speech recognition accuracy and 98% translation accuracy. Supports 100+ languages with dark/light themes.
React Native

FoodOrdering System

Full-stack mobile food ordering application built with React Native, TypeScript, and Supabase. Supports user authentication, cart management, and order history.