Rakshith S

Enthusiastic recent graduate with a degree in Information Science and a passion for software development. Proficient in Java, SQL, HTML,CSS and Azure. Eager to contribute to a dynamic team and apply problem-solving skills in a Collaborative environment.

Fake registration plate and emission test detection

Developed an intelligent number plate recognition system leveraging Convolutional Neural Networks (CNN) with the YOLO (You Only Look Once) object detection model. The solution processes video or image inputs to accurately detect and localize vehicle number plates in real time. Integrated Optical Character Recognition (OCR) for precise alphanumeric extraction while implementing a duplicate detection prevention mechanism. This system enhances traffic law enforcement, promotes road safety, and aids in reducing accident risks.

Depression Analysis

Designed and implemented an end-to-end machine learning model to predict depression based on user-reported symptom patterns, delivering binary classification outputs (1 – Depressed, 0 – Not Depressed). The application features an integrated self-assessment module to support mental health awareness and early detection, enabling users to evaluate their mental well-being through an interactive questionnaire.

Java Full Stack Developer

• I completed a comprehensive full-stack Java development program at Pentagon Space in Bangalore. During the training, I gained proficiency in Core Java, JDBC for backend connectivity, J2EE for frontend connectivity, as well as SQL, HTML, and CSS.

Azure Fundamentals

• I have completed the Microsoft Certified: Azure Fundamentals (AZ-900) certification, gaining a solid understanding of core cloud concepts and Azure services.