Kotha siddhartha Reddy

Internship focused on AI-powered Smart Parking System and AI-driven adaptive networks for dynamic traffic management. Activities included developing an Android-based smart parking application, designing responsive UI/UX, applying web development technologies to optimize performance and security, integrating real-time data processing and Google Maps API for dynamic slot allocation, and leveraging machine learning techniques for traffic prediction and optimization. Also involved in designing an AI-powered system for real-time traffic flow optimization and implementing cloud-based data analytics for improved decision-making.

Developed a doctor appointment booking web application; designed responsive UI components using HTML, CSS, and JavaScript to improve usability across devices; built an AI-powered smart parking prototype leveraging real-time data and Google Maps API; applied machine learning techniques to predict traffic congestion and support route optimization; performed data cleaning, preprocessing, and exploratory data analysis (EDA) to support ML model development; collaborated with cross-functional teams to test, debug, and deploy scalable data-driven solutions; monitored system performance and data pipelines using cloud-based analytics tools; translated analytical findings into actionable insights to support operational decision-making; conducted feature analysis to identify key variables impacting model predictions and system performance; validated model outputs using basic evaluation metrics and iterative testing.