Homayoun S.'s repositories

Customer_Support_System

A machine learning-powered customer support system that automate responses to common queries, prioritize urgent issues, and escalate complex queries to human agents.

Language:HTMLStargazers:0Issues:0Issues:0

Homayounsr.github.io

Personal Portfolio

Language:CSSStargazers:1Issues:0Issues:0
Stargazers:0Issues:0Issues:0

GPT-Chatbot-for-a-restaurant-with-Flask-and-RAG

In this project, I built a chatbot to answer customer simple inquiries about restaurants, such as displaying the food menu and contact, and providing information about the number of available tables for reservation.

Language:Jupyter NotebookStargazers:2Issues:0Issues:0

Classification-Model-for-Speech-Emotions

In this project, I used the RAVDESS dataset with eight emotions, each at two intensities. I built a model extracting five features from speech signals to classify emotions, providing valuable insights.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Prediction-model-for-NYC-Housing-Listings

The objective of this project was to predicting housing prices for New York City. To achieve this goal, I performed web scraping to collect a dataset of 17,000 records from realtor.com, covering all cities in the state of New York. Employing transfer learning, I utilized a model trained on 10,000 records to further train a model using 2,000 records

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Sentiment-Classification-using-IMDB-reviews

For this project, I aimed to perform sentiment analysis on IMDB movie reviews. My dataset consisted of over 36,000 reviews, each accompanied by movie ratings ranging from 0 to 10. The primary objective was to construct a machine learning model capable of categorizing reviews into three sentiment classes: negative, neutral, and positive.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Housing-price-prediction-using-linear-regression

In this project I built a linear regression algorithm from scratch to predict the price of the houses based on different features

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Coffee-Bean-Sales-Analysis

In this project, I analyzed Coffee Bean Sales using Python, employing libraries such as pandas, matplotlib

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Interactive_dashboard_using_streamlit_and_python

In this project, I have built an interactive dashboard for a supermarket dataset using streamlit framework

Language:PythonStargazers:0Issues:0Issues:0

flight-delay

In this project, I analyzed flight delays using Python, and I leveraged libraries such as pandas, matplotlib, and seaborn.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

IMDB-web-scraping-using-Python

python-review-scraping-imdb-movie-site-with-BeautifulSoup

Language:PythonStargazers:2Issues:0Issues:0

predict-housing-price-using-linear-regression-and-sklearn

Predict house price with linear regression

Language:PythonStargazers:0Issues:0Issues:0