My github profile

This report details our exploration of the original TEVAD framework and our proposed enhancements to its visual, textual, and fusion components for improved video anomaly detection.

Deep learning notebooks and model implementations, exploring CNNs, RNNs, LSTMs, Transformers, and more during my AI learning journey.

COVID-19 lung segmentation using U-Net and MobileNet-U-Net with MLflow for experiment tracking and model comparison.

Built an Apache Airflow pipeline to collect rocket launch data and images.

Domain-specific adaptation of CodeT5 for Python docstring generation. Compares pre-trained vs fine-tuned performance using NLP metrics (ROUGE, METEOR, BERTScore), showing significant improvements a…

Sa7ti is a medical platform offering a mobile app for patients and a website for doctors to simplify healthcare management. Patients can book appointments, manage medications, and access their medi…

My LangGraph-built AI assistant that provides conversational access to my professional portfolio. It leverages tool-calling to dynamically fetch and present data from my GitHub, answer questions ab…

A modern, interactive quiz application built with Flutter, designed to demonstrate Object-Oriented Programming (OOP) principles and best practices in mobile app development.

Explored Google QuickDraw dataset using CNNs (ResNet, MobileNet) and Transformers (ViT, custom sequence models).

Predicting next word using medium dataset also discovering the impact of using pre-trained embedding to enhance the model.

This project is a fully featured chat application offering capabilities such as realtime text messaging, voice and picture sharing, video calls,send invitations and more.

Simple app note using Bloc and MVVM pattern ... I tried to simplify the screen component to make the maintenance easier

Note application created using flutter for front end and express node js and prisma for backend and postgresql for database