Who Am I ?
I’m an AI enthusiast with a strong interest in Generative AI, dedicated to building applications using the MERN stack. As a student at Kalasalingam Academy of Research and Education, I actively pursue my passion for app development and AI innovation. My research contributions in healthcare, particularly in image processing, have been published, reflecting my commitment to advancing technology in this field.
Download CVWhat I Do?
Building robust and scalable applications using Java and Python for diverse use cases.
Designing and implementing machine learning models to solve real-world problems.
Expertise in managing relational and NoSQL databases for efficient data storage and retrieval.
Developing full-stack web applications using MongoDB, Express.js, React, and Node.js.
Collaborating on projects and managing codebases effectively using Git and GitHub.
Always feel Free to Contact & Hire me
What I did?
MedLyf is a lung cancer detection system deployed using Flask, powered by a Convolutional Neural Network (CNN) model. The application leverages advanced image processing techniques to analyze medical images and predict the likelihood of lung cancer.
Database: The system uses PostgreSQL for efficient and secure data storage and management.
Features: User-friendly interface, real-time predictions, and secure data handling for healthcare professionals.
Read more
This application is a stock market prediction system deployed using Flask, leveraging real-time data from the Alpha Vantage API. It provides insights and predictions for stock prices for the coming 7 days.
Features: Real-time stock data retrieval, interactive visualizations, and predictive analytics using machine learning models.
Technology Stack: Flask, Alpha Vantage API, Python, and machine learning libraries.
Read moreHow can you communicate?