Vishwatha Murugan

I am an MCA candidate and AI/Web development intern with hands‑on experience building machine learning and full‑stack web solutions. I focus on practical, deployable systems that deliver measurable accuracy and user value.

During an internship I developed a real‑time speech emotion detection system using Python, Flask and deep learning that achieved 97.96% accuracy and generated alerts for negative emotions. I also built an ensemble CNN pipeline for groundnut disease detection reaching 96.88% accuracy.

My projects include a responsive React+Vite chatbot using Tailwind CSS and a voice recognition system that leverages MFCC, Chroma and Mel features with FCNN architectures. I combine front‑end engineering with ML model development to create end‑to‑end products.

I am eager to contribute to teams that value rigorous engineering, continuous learning and impactful AI applications, bringing a blend of full‑stack development, deep learning, and practical deployment experience.