Chandra Rup Daka

Designed a predictive text application to address the constraints of mobile typing by automating word completion using mathematical modeling.

Addressed the challenge of classifying unstructured text in low-resource Indian languages by developing a Deep Learning framework for Telugu news articles.

Designed a machine learning model to simulate human reading capabilities, translating scanned handwritten documents into digital text.

Built a real-time messaging application to explore and implement fundamental Operating System concepts including Inter-Process Communication (IPC) and Process Synchronization.

Addressed the critical challenge of autonomous vehicle (AV) on-ramp merging by developing a Multi-Agent Reinforcement Learning (MARL) solution.

Investigated and implemented an automated trading system using Deep Reinforcement Learning (DRL) to predict stock trends and optimize portfolio allocation.

Developed a 5-DOF robotic manipulator simulation in ROS (Robot Operating System) capable of autonomously writing characters (0-9) on a digital surface

Developed a gesture-based human-machine interface (HMI) allowing a user to control a robotic manipulator wirelessly using natural hand movements.

Developed a computer vision application designed to automate the tracking of moving objects (specifically balls) for sports analytics and trajectory prediction.