YUVANKALYAN C V

A highly motivated student with a passion for self-development across various fields, I bring adept communication, teamwork, and adaptability skills to the table. Confident in contributing my skills to the fullest. Eager to use analytical skills and passion for aviation to excel in pilot training and support company operations effectively

4TH INTERNATIONAL CONFERENCE ON ELECTRICAL, COMMUNICATION, AND COMPUTER ENGINEERING (ICECCE), DUBAI|UAE

Presented a paper on the development of a Name, Gender, Race Identification utilizing Convolutional Neural Network technology to bolster real-time security measures. The presentation highlighted the system's innovative approach and its potential impact on enhancing security and authentication.

Gender Age Race Classification using Convolutional Neural Network, CNN-based model for precise gender, age, and race classification in image data. Applied advanced deep learning techniques to accurately categorize diverse demographic attributes, ensuring robustness and fairness. Achieved notable accuracy rates in classification tasks, demonstrating proficiency in leveraging CNN architectures.

Infrastructural Change in Satellite Image using Change Former, Utilized existing Change Former model for satellite image change detection. Adapted Change Former to accurately recognize and categorize changes, such as infrastructure or natural alterations. Implemented user-friendly functionalities to process custom images and generate reports with actionable insights using the pre-existing Change Former framework

Aviation Meteorology, 84/100

• Learning about aircraft has been one of the most intriguing experiences of my life. My inquisitive nature and passion for aviation are the key strengths that drive me