Projects
Computer Vision Research Initiative: Image Segmentation with AI
This project focuses on building an AI-powered image segmentation system using OpenAI’s CLIP and Facebook's SAM models. The goal was to create an advanced system capable of accurately segmenting complex images, such as medical scans or research data. I leveraged machine learning algorithms and deployed the system through a Flask API for real-time image processing. The project aims to solve real-world challenges in healthcare and research by improving the efficiency and accuracy of image segmentation tasks.
Inventory Management System
In this project, I developed a comprehensive inventory management system that integrates employee and finance management, automating tasks such as salary and sales calculations. The system was built using Django MVC and object-oriented programming (OOP) principles. This project optimizes business operations by streamlining inventory control, employee data management, and financial tracking.
Ministry of Health Data Organization for Students
I created a system for the Ministry of Health to organize and manage student health data using SSNs, ensuring efficient tracking and reporting. The platform uses Vue.js for the front end and Django REST Framework (DRF) for the back end, with a microservices architecture to handle different modules. Custom OAuth authentication was implemented for security. The system allows for the secure and scalable management of large datasets, making it easier for Ministry personnel to access and manage student health records. This project contributes to improved organization and decision-making in healthcare management.
