Hi, I'mAbhay Prabhakar
- Student @ BMS Institute of Technology and Management (B.E - Artificial Intelligence & Machine Learning, Class of 2027).
- Self-taught developer focused on Artificial Intelligence.
- Main Skills: Python · Machine Learning · Computer Vision · Data Science · React · Arduino/Raspberry Pi.
About Me
I'm Abhay Prabhakar, working with AI/ML and web development. I code in Python, JavaScript, C/C++, and use frameworks like TensorFlow and PyTorch. I love building things and experimenting with new tech.
My curiosity drives me to constantly learn and explore. I run a homelab where I test out different technologies and ideas. Whether it's machine learning or web development, I'm always eager to dive in and figure things out.
Beyond coding, I'm into astrophysics and astrophotography - capturing images of stars and space. I also play guitar and enjoy tinkering with my homelab setup. I'm always curious about new things to learn and explore.
My Skills
Featured Projects
AstroArchive - Astrophotography Image Catalog System
This project solves this by providing a centralized, open-source platform specifically tailored for astrophotographers.
AI Travel Planner
AI travel planner that creates personalized itineraries with flight, accommodation, and travel recommendations using APIs and real-time data.
EchoAi - AI-Powered Voice Assistant
EchoAi is an innovative tool designed to revolutionize customer support by enabling seamless, real-time voice interactions.
Featured Articles
Give Your Old Laptop a Second Life: Build a NAS with Debian
Learn how to install Debian and set up your machine as a server with Btrfs redundancy and SMB file sharing for reliable data storage and access.
The Ultimate Guide to Docker, Plex, and Containerized Media Streaming
A comprehensive guide on setting up Docker containers for Plex media streaming, optimizing performance, and managing your media library.
Astrophotography for Beginners: Your Gateway to Capturing the Night Sky
A beginner's guide to astrophotography, covering essential techniques, equipment, and tips for capturing stunning images of the night sky.
Publications & Research
AI-Driven Brain Tumor Segmentation: Innovations, Constraints and the Path Toward Clinical Adoption
2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF)
IEEE
Abstract
Brain tumor segmentation is a challenging and critical task in the area of medical imaging and treatment planning. The result of the segmentation proc...Brain tumor segmentation is a challenging and critical task in the area of medical imaging and treatment planning. The result of the segmentation process is to generate an accurate sketch of the tumor regions by their corresponding brain tumor masks. The precise and accurate segmentation of tumors requires multiple image modalities with varying contrasts and spatial resolution. In recent years, many deep learning models such as U-Net, ResNet, VGG16, and Transformer-based architectures have emerged and achieved promising results with exceptional breakthroughs. The survey has been utilized to review state-of-the-art deep learning methods for brain tumor segmentation, clearly focusing...
Work Experience
Vice Chair
As Vice Chair of Br[AI]nium Club, I serve in a key leadership role within our artificial intelligence and technology student organization
AI & ML Intern
Developing and implementing machine learning models for various applications including data analysis, pattern recognition, and predictive modeling. Collaborating with engineering teams to integrate AI solutions into existing systems and contributing to research and development of innovative digital products.
Webmaster
Managed the society's website and online presence. Developed and maintained web content, ensuring it was up-to-date and engaging. Collaborated with other members to promote events and initiatives.