I am Yuva Nandhini M, an aspiring AI enthusiast with a deep fascination for the potential of AI technology to transform industries. My passion lies in exploring AI applications and I am proficient in Machine Learning algorithms and Deep Learning frameworks. I am eager to apply my skills in real-world scenarios and continue learning and growing in the field of AI.

• Python Programming

• Machine Learning

• Deep Learning

This project aims to deploy a software where users can upload an image to identify the type of terrain and its implicit quantity. It uses Deep Learning, specifically Convolutional Neural Networks (CNN), to perform terrain recognition. This application is beneficial for navigating self-driving military vehicles to find the safest and most efficient routes.

The goal of this project is to employ the YOLO object detection method to identify objects in an image. Detected objects are visually highlighted by drawing bounding boxes and labeling them, enabling easy interpretation and interaction with the detection results.

This project uses computer vision to track the movements of the user, functioning as a virtual mouse. Machine Learning algorithms are utilized to improve its accuracy over time.

Selected as one of 5 finalist teams in the problem statement on "Deep Learning for Terrain Recognition" among over 50,000 ideas from 44,000 teams. The grand finale featured more than 12,000 participants and 2,500 mentors across 48 nodal centers. Being among the finalists in such a competitive environment is a testament to my skills and innovative approach to problem-solving.

For any inquiries or collaborations, please feel free to reach out: