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Salar Mokhtari Laleh

Computer Science Researchers & Lecturers

salarmokhtaril

As a dedicated graduate of the University of Tabriz with a Bachelor's degree in Computer Engineering, I, Salar Mokhtari Laleh, am actively engaged in driving advancements in artificial intelligence. My expertise encompasses machine learning, natural language processing, and computer vision, areas in which I continuously strive for excellence. Through my commitment to research and education, I aim to contribute meaningfully to the field of AI, leveraging its potential for positive societal impact and intellectual growth.

Research Interests

Computer Vision Machine Learning Deep Learning
Human-Computer Interaction Robotic & IoT Optimization & Algorithm

Email: [email protected]

Salar Mokhtari Laleh's Projects

american-sign-language-mnist-gesture-recognition-cnn icon american-sign-language-mnist-gesture-recognition-cnn

This project employs Convolutional Neural Networks (CNNs) to enhance American Sign Language (ASL) MNIST classification and dynamic gesture recognition. Our primary aim is to contribute to inclusive communication, overcoming challenges in accurately interpreting both static ASL symbols and dynamic hand gestures.

diabetes-prediction icon diabetes-prediction

Diabetes prediction is the use of data and algorithms to determine the likelihood of an individual developing diabetes. This helps with early detection and prevention of complications associated with the disease, allowing for improved patient outcomes.

groceries-recommender icon groceries-recommender

This notebook provides an implementation of a recommender system using PyTorch and demonstrates how to train and evaluate the model on a dataset of grocery transactions. The system utilizes item embeddings to represent the items in the dataset and computes their similarity to make recommendations.

house-price-prediction-regression-modeling icon house-price-prediction-regression-modeling

House price prediction involves analyzing data points to estimate the value of a residential property using statistical techniques such as regression analysis and machine learning algorithms. It is useful for both buyers and sellers in making informed decisions based on market trends and property values.

salar-mokhtari-laleh-license icon salar-mokhtari-laleh-license

Salar-Mokhtari-Laleh-License is a personal software license created by Salar Mokhtari Laleh. This license allows others to use, modify, and distribute software based on the original work, subject to certain conditions. The repository contains the license text and attribution instructions.

sdc-js icon sdc-js

Self Driving Car in JS, without any library

ta icon ta

University teaching files

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