Mohammad Othman's repositories
ChurnPrediction-E2E-ML-Pipeline
This project is an end-to-end machine learning pipeline with a focus on efficient model deployment using Flask API, Docker, and Amazon EC2. The modular architecture ensures seamless integration and a consistent experience across environments. A CI/CD pipeline with GitHub Actions streamlines development and deployment.
Longformer-Learning-Next-Generation-Sentiment-Analysis
This project applies the Longformer model to sentiment analysis using the IMDB movie review dataset. The Longformer model, introduced in "Longformer: The Long-Document Transformer," tackles long document processing with sliding-window and global attention mechanisms. The implementation leverages PyTorch, following the paper's architecture
20Newsgroups-QuestionAnswering-Summarization-BERT
This repository provides a Flask web application that harnesses the capabilities of BERT, BART, and RoBERTa models for NLP tasks on the 20 Newsgroups dataset. The application classifies articles, generates concise summaries, and answers user-posed questions.
Doctor-Who-Web-APIs
This project is a .NET 7 Web API application that serves as a backend for managing Doctor Who related data. It supports CRUD operations for doctors, episodes, and authors, as well as adding companions and enemies to episodes. The application is built using Entity Framework Core for data access, AutoMapper for object mapping, and FluentValidation.
ML-AutoTrainer-Engine
ML AutoTrainer Engine, developed using Streamlit, is an advanced app designed to automate the machine learning workflow. It provides a user-friendly platform for data processing, model training, and prediction, enabling a seamless, code-free interaction for machine learning tasks.
Voice-TimeLogger-Agent
AI-powered automation system for consultants to track meeting hours effortlessly. Record a voice message after each meeting, and let the system automatically extract client information, timestamps, and meeting details into Google Sheets. Features OpenAI Whisper for speech-to-text, GPT for intelligent data extraction, and n8n workflow automation.
Diabetes-Progression-Predictor
This repository exemplifies a robust ML workflow, leveraging MLflow for experiment tracking, Docker for containerization, TensorFlow Serving for model deployment, and GitHub Actions for CI/CD. It embodies a comprehensive system designed to predict diabetes progression using advanced machine learning paradigms.
Wikipedia-RAG-Chatbot
A Streamlit-based application that leverages Retrieval Augmented Generation (RAG) to provide accurate answers from Wikipedia content.
TechMart-AI-Assistant
A sophisticated enterprise-grade RAG (Retrieval-Augmented Generation) customer service system for electronics retail. Combines structured database queries with vector-based document retrieval to deliver intelligent, contextual responses in both Arabic and English with real-time streaming capabilities.
Doctor-Who
The Doctor Who project is a database project based on the British science fiction television program. The purpose of the project is to create a database that contains information about the Doctor Who universe, including data on episodes, doctors, companions, and enemies.
Doctor-Who-Core
DoctorWhoCore is a project that uses Entity Framework Core to manage and manipulate data in a database. This project has a focus on the popular British television show, Doctor Who. The database created by this project contains information about the various characters, enemies, authors, and episodes that have been featured in the show.
End2End-RecommenderSystem
Complete Pipeline for Recommendation System Development and Deployment
gitignore
A collection of useful .gitignore templates
IrisFlow-MLOps-with-Kubernetes-CI-CD
An end-to-end MLOps project integrating Flask, Docker, CI/CD (GitHub Actions), and Kubernetes. This repo demonstrates the development, containerization, automated deployment, and scaling of a simple ML model for iris classification.
MathConvNet
MathConvNet: Mathematical Convolutional Neural Network Implementation from Scratch
Price-Calculator
This is a C# price calculator program that calculates the price of a product with a flat-rate tax, discounts, packaging, transport, and administrative costs. Customers can choose how discounts are combined. The program simulates the evolution of customer requirements over time.
smart-ai-customer-support-rag
An intelligent customer support system using RAG (Retrieval Augmented Generation)
StringKataCalculator
The String Calculator Kata involves building a calculator that can take a string of numbers separated by commas or new lines, and return their sum. The calculator should be able to handle an unknown amount of numbers, and it should also support custom delimiters specified at the beginning of the input string.
TrustCheck
An enterprise-grade, cloud-native sanctions compliance platform offering real-time monitoring, intelligent change detection, and automated alerting. Built with a modern Python stack (FastAPI, Celery, SQLAlchemy) and deployed on AWS using Terraform for complete Infrastructure as Code (IaC) automation.