SK Jayanth

Innovative System Analyst with extensive experience in analyzing, designing, and implementing effective system solutions. Expertise in identifying system requirements and enhancing user experience through process improvements. Proven ability to collaborate with cross-functional teams to achieve project goals and deliver optimal results. Demonstrated success in troubleshooting complex technical issues to support business objectives.

Facial Expression Recognition and Gender Detection Using CNN

This project aims to develop a real-time facial recognition system capable of identifying both facial expressions and gender. Utilizing convolutional neural networks (CNN), the system is designed to analyze live video feed to classify emotions and determine gender. The model is implemented using Python, OpenCV, and Keras, and can be applied in market analysis to understand consumer behavior and preferences.

Maintaining Social Distance in Supermarkets

This project involves creating a reliable model to monitor social distancing in public spaces like supermarkets. Using Python, OpenCV, and YOLO, the system detects and tracks individuals, calculates the distance between the nearest people, and provides alerts if social distancing is not maintained. It is intended for deployment in real-life scenarios such as malls and public gatherings to promote safety.

Comparative Study and Analysis on Radar Target Classification

This research focuses on evaluating different machine learning approaches for radar target classification. Specifically, it compares the naïve Bayesian approach and support vector machine (SVM) by analyzing their performance on radar data. The study involves generating models using statistical techniques and machine learning, then assessing which approach yields the most accurate and reliable results.