A collection of AI/ML systems and experiments built by Chaitanya Tatipigari.
This project presents a deep learning framework for forecasting monthly home prices and rental costs at the ZIP-code level across the United States. We integrate Redfin property sales data with American Community Survey rental figures to produce localized, forward-looking insights on the rent-versus-buy decision. If you’d like to explore the full code and dataset, you can find everything here.
Surface Electromyography (sEMG) captures the tiny electrical signals generated by our muscles when they contract. These signals are at the heart of many prosthetic control systems and human–computer interfaces. In this report, we explore two main strategies:
Our goal is to understand how each approach balances accuracy and processing speed when classifying hand gestures.
This project models Reddit user interactions to understand behavior and patterns. This project utilizes Spectral Clustering from the Graph Laplacian (using normalized cuts) to uncover local communities where users have more concentrated interactions. We discuss the importance of understanding user behavior, the results of this project, and areas of improvement for further research. If you’re interested, then let’s dive right in!