Revanth Ganesh

I've built end-to-end machine learning applications in Python, including a Flask-deployed ResNet50V2 model for real-time monkeypox recognition from skin images.

For my tele-dermatology project, I designed a CNN-based model, performed image preprocessing and augmentation, optimized the model, and deployed predictions through a web interface using TensorFlow, Keras, Flask, and Git.

I also developed a Linear Regression stock market prediction project using historical data, data cleaning, feature selection, and exploratory data analysis to generate decision-support insights.

I'm pursuing a B.Tech in Artificial Intelligence and seeking an entry-level software development or machine learning opportunity where I can contribute to scalable, data-driven solutions.