Hi,
I'm Othman

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About

I'm Othman SAMIH

I'm a Data Scientist Intern at Capgemini Engineering while pursuing my Master's degree in Artificial Intelligence and Distributed Systems at ENSET Mohammedia. My enthusiasm lies in the realms of AI and ML, and I actively engage in learning various machine learning techniques to implement in practical projects.

Projects

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Moroccan law chatbot

Python Langchain Streamlit Pinecone

Moroccan law chatbot providing answers on various legal topics including business, taxes, and divorce, using a cloud-based dataset of Moroccan law documents.

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Real-time UK license plate detection and recognition

Python Yolov8 SORT EasyOCR

A real-time UK license plate identification system using advanced computer vision and machine learning techniques for accurate detection and character recognition.

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Segmented bottles in a production line

PythonYolov8

Designing and implementing a cutting-edge system for segmenting bottles on a production line, leveraging the power of YOLOv8.

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Deployed ML model as Dockerized API

PythonDocker Scikit-learnFastAPI

This project streamlines the deployment of machine learning models by creating a Dockerized API. This makes the model accessible and usable as a web service, allowing others to easily interact with it and get predictions.

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QR code attendance system

PythonOpenCV

A QR attendance system designed to manage access control by scanning QR codes, providing clear indications of whether access is accepted or denied.

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Object Detection with AWS Rekognition

PythonAWSOpenCV

A system that uses Amazon Rekognition Object Detector to identify objects in images and videos. It can detect a wide range of objects.

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Pneumonia classification web app

PythonTensorflowStreamlit

A pneumonia classification web app that identify pneumonia in chest X-ray images.

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Multiple disease prediction system

PythonScikit-learnStreamlitRender

A predictive system capable of forecasting multiple diseases, including Diabetes, heart disease, and Parkinson's, through the application of Machine Learning techniques.

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