Vidhan

I am a final-year B.Tech Computer Science student at Karnavati University, Gujarat, with an SGPA of 8.43/10. My primary interests lie in Artificial Intelligence, Machine Learning, Medical Imaging, Cybersecurity, and Internet of Medical Things (IoMT).

I mentor aspiring students in Python and AI/ML while collaborating on anomaly detection solutions for IoT data streams. Previously, I worked as a Data Scientist Intern at Uniconverge Technologies, where I processed 3D brain MRI data and conducted comparative research on deep learning architectures such as Vision Transformers, ResNet, DenseNet, and VGG for brain tumor analysis.

My research focuses on secure and privacy-preserving healthcare technologies. I am an author of research works on IoMT security, cryptography, machine learning, and graph neural networks, with papers submitted and accepted at international conferences. I have also secured a ₹50,000 SSIP 2.0 grant for developing an AI-powered health monitoring system.

I have developed several interdisciplinary projects combining AI, healthcare, IoT, and full-stack development, including:

Elderly Health Monitoring System using IoT, MERN Stack, and machine learning.
AIMS (Artificial Intelligence in Medical Science), a collaborative platform hosting multiple disease prediction models.
EcoEats, a hackathon-recognised platform connecting food donors and NGOs.

My technical expertise includes Python, TensorFlow, PyTorch, MONAI, Scikit-learn, OpenCV, React.js, Node.js, Express.js, SQL, and Java, with experience in AI model development, medical image analysis, web applications, and IoT systems.

In addition, I was a winner of the Code Unnati Innovation Marathon 2024–25, competing against hundreds of student teams across multiple Indian states, and have actively participated in national hackathons and technology community events.