Data science student with technical skills in Python and Java, passionate about data analysis and learning new technologies to build innovative solutions.
Developed a Multimodal Emotion Recognition System using facial, speech, and text data Applied Computer Vision techniques to detect emotions from facial expressions Utilized Natural Language Processing to analyze sentiment from text inputs Processed audio signals using Speech Processing for emotion detection Implemented feature extraction and data preprocessing for multiple modalities Combined data using multimodal fusion techniques to improve accuracy Built and trained machine learning / deep learning models for classification Achieved improved performance compared to single-modality systems Tools & Technologies: Python, TensorFlow/PyTorch, OpenCV
Developed a Resume-Based Job Matching system using AI that analyzes resumes and matches them with relevant job descriptions using Natural Language Processing techniques. Skill Identification Improved Recruitment efficiency multiple resume format matching
To build an intelligent system capable of analyzing visual input(images or video frames)and answering about the visual content using Mediapipe Studio for efficient real-time visual processing. visual representation Answer prediction Multimodal fusion
Nri Institute Of Technology -- Guntur
--- Present
Viswabharathi Junior college -- Addanki
Orchids High School -- Addanki