Project Highlights — Systems I’ve Built

Live Language Translator

This system interprets spoken or typed language in real time and delivers fluent, context-aware translations between languages. It demonstrates my ability to take advanced natural language processing techniques out of notebooks and into interactive applications. The project explores semantics, real-time inference, and linguistic variability in multilingual environments.

Voice Recognition & Vocal Note System

A voice processing system that captures, processes, and interprets spoken input to generate meaningful structured output. This project blends audio signal processing with machine learning and showcases interactive user experience.

Machine Learning Demos

Repositories exploring core machine learning systems for human-centric inference. Includes Voice-Recog (audio pattern recognition) and Face-Expression (computer vision for emotion detection). These form the building blocks for emotionally intelligent systems.

Multi-Disease Prediction

A comprehensive notebook that benchmarks multiple machine learning models across health datasets to predict disease outcomes. This project represents hands-on experimentation with model selection, validation, and comparative performance analysis.

Interactive Web Projects

A collection of interactive front-end systems (Sign-lang, Heart-attack demo, Lalitha-IIT) demonstrating full-stack fluency, rapid prototyping, and deployment to the public web.