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Zahra's Projects

audio_sentiment_classification icon audio_sentiment_classification

This project preprocesses a Persian speech emotion detection dataset, extracting and padding MFCC features from audio files. It uses an LSTM model to classify emotions, evaluating performance with metrics such as accuracy, precision, recall, and F1-score.

basic-computer-project icon basic-computer-project

In this course, we explored the fascinating world of computer architecture through the lens of Morris Mano's renowned textbook. I am proud to have achieved a grade of 4 out of 4.

book_store_api icon book_store_api

Developed a user-friendly bookstore API using Django REST framework - find and manage your book collection effortlessly! 💻🤓

collaborative-filtering-movie-recommender-system icon collaborative-filtering-movie-recommender-system

Utilized the MovieLens dataset to train a recommender system, employing collaborative filtering and KNN algorithms. Investigated how adjusting K values influenced user-based, item-based, and content-based recommendations.🎬

ensemble-lstm-gbr-model icon ensemble-lstm-gbr-model

This project predicts Arctic sea ice extent using an ensemble of Linear Regression, LSTM networks, and Gradient Boosting Regressors. The combined approach improves prediction accuracy and provides robust insights into sea ice trends.

home_prices_prediction icon home_prices_prediction

In today's dynamic housing market, accurate pricing is crucial. This project tackles this challenge by harnessing the power of linear regression to predict house prices.🏘️🌳

iceflowhybrid-cnn-lstm-transformers icon iceflowhybrid-cnn-lstm-transformers

This project refines the sea ice prediction model by advancing the "Attention-based Ensemble LSTM" architecture with the integration of CNNs, LSTMs, and attention mechanisms.

labs109 icon labs109

Addressed multiple challenging problems by considering their complexity and limited execution time.

led-scrolling-display icon led-scrolling-display

This project brings text to life with a captivating LED scrolling display! Designed in Multisim software, the circuit leverages logic circuits like decoders, multiplexers, and shift registers to control the LEDs and create scrolling text animations.

linear_regression_life_expectancy icon linear_regression_life_expectancy

This project analyzes a dataset on life expectancy. It cleans the data, explores the life expectancy vs adult mortality rate, and builds a machine learning model to predict life expectancy based on adult mortality rate. The model is then evaluated on a testing set.

mlp-project--predict-customer-churn icon mlp-project--predict-customer-churn

This project preprocesses a dataset for binary classification to predict customer churn using a Multilayer Perceptron (MLP) neural network. It evaluates the model's performance with metrics such as confusion matrix, classification report, and accuracy score, and compares it with a Random Forest classifier.

movie_recommender icon movie_recommender

In the ever-changing world of movie recommendations, finding the perfect film can be a challenge. This project addresses this by building a genre-based recommender system using Linear Regression.🎬

myzshop icon myzshop

myZshop, built with Django, offers a complete e-commerce experience. Manage products, users, orders, and more! (See folders for details)👀

online_quiz_creator icon online_quiz_creator

Built a dynamic quiz system using Django-ORM - create, take, and get graded instantly! 🤔❓

personal_website icon personal_website

Showcased my skills and experience through an interactive Django-powered portfolio website! ✨

project-porto icon project-porto

Build a stunning portfolio website - fast! Drag-and-drop design, pre-built templates, and easy content management on a secure Django framework.👤

robot-position icon robot-position

This Python compiler guides robots in 3D space. Analyze movement instructions, pinpoint robot location - all with ease! 🦿

sentigerman icon sentigerman

SentiGerman classifies German text into positive, negative, and neutral sentiments using fine-tuned BERT and RoBERTa models. Trained on the SB10K dataset, it delivers accurate sentiment analysis with advanced language understanding.

the-calculator icon the-calculator

This Python calculator with Tkinter GUI offers a powerful and user-friendly solution for all your mathematical needs. ✏️📏

traffic-signs-classifier icon traffic-signs-classifier

This project preprocesses a dataset for traffic sign classification, implementing a Convolutional Neural Network (CNN) to classify the signs. It evaluates the model's performance using metrics such as accuracy, F1 score, recall, and precision.

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