Gurunath G Email & Phone Number

Developed an automated annotation system using YOLO for real-time traffic sign detection and labeling, reducing manual dataset preparation by 60Implemented active learning techniques to improve model accuracy through iterative retraining and human-in-the-loop corrections.Focused on enhancing recognition in challenging real-world conditions (e.g., complex backgrounds, lighting variations) to support autonomous driving and ADAS applications.Achieved consistent performance improvements in object detection models through continuous model refinement and data augmentation.

Developed a machine learning model to accurately classify emotions from speech audio, enhancing human-computer interaction.Utilized feature extraction techniques such as Mel-frequency cepstral coefficients (MFCCs) to capture relevant acoustic features from audio signals.Implemented various algorithms (e.g., SVM, Random Forest, and Neural Networks) to achieve high accuracy in emotion recognition tasks.

Developed a sign detection system that utilizes NLP to translate sign language gestures into real-time text and speech.Leveraged deep learning models and NLP techniques to improve communication for the deaf and hard-of-hearing communities.Implemented advanced gesture recognition using Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP) for accurate translation.