Projects

As a full-stack developer on this project, I played a crucial role in creating a seamless synergy between the backend and frontend components. My responsibilities extended to working extensively with data, where I engaged in data processing and preparation. Leveraging the power of Python's TensorFlow library, I contributed to the development of our AI model, employing machine learning techniques to analyze leaf images sourced from Kaggle.com. Furthermore, I took charge of the website's frontend design, utilizing HTML and JavaScript to ensure a user-friendly and visually appealing interface. This holistic approach allowed me to bridge the gap between data handling, artificial intelligence, and user interaction, resulting in the comprehensive LeafLens project that you see today.

As an intern student, I played a role in the creation of the GNSS network infrastructure and the DEM of the region.