ALAKA PRASANNAKUMAR GEETHADEVI

Motivated and results-driven Master’s student in Electrical and Computer Science Engineering, specializing in Embedded Systems with a strong focus on Artificial Intelligence (AI) and Machine Learning (ML). Passionate about applying AI/ML techniques to solve real-world problems, with hands-on experience in developing intelligent systems, data analysis, and algorithm implementation.

1. Obstacle Avoidance and Navigation using LiDAR Sensor

• Designed an autonomous navigation system using TurtleBot3 with ROS and LiDAR sensor for SLAM-based environment mapping.
• Integrated the YOLO algorithm for real-time traffic sign detection, including lights, intersections, construction zones, parking areas, and speed limits.
• Simulated the system on the Gazebo platform with programming implemented in Python.

2. Implementation of Machine Learning Algorithm to Recognize and Classify Dishware/Kitchenware

• Developed a kitchen utensil categorization system using Convolutional Neural Networks (CNNs) with enhanced accuracy through data augmentation and hyperparameter tuning.
• Addressed challenges like data imbalance and accuracy maintenance through rigorous validation and optimization.
• Utilized TensorBoard for real-time monitoring of training progress and model performance.