SabeehHassany
cs and neuro undergrad @bc + interested in the intersection of ai and neurotech
New York City
Pinned Repositories
Churn-Prediction
Live customer churn prediction based on Telco Dataset using Sklearn, Flask API, Docker, and Heroic for deployment
Email-Spam-Detector-DecTreeClass
Using a decision tree classification model to identify spam emails based on the specific occurrence of certain features and patterns within the email text. The dataset contains over 54 feature variables from over 4000 emails and can be used to make a custom email spam detector.
Jots-App
A rudimentary Twitter clone that allows users to post short messages (“jots”), follow and create unqiue channels, and receive real-time notifications for new posts. The project focuses on basic social media features and backend development concepts. Built using Go, Redis, MySQL, and WebSockets.
museEEG
A repository of cool programs that utilize the 2016 muse eeg headband. Python based.
PantryTracker
This application helps manage a inventory database using Javascript, Next.js, Material UI, and Firebase.
Predicting-Customer-Purchase-LogisticReg
Using Logistic regression to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of above 92%!
Python-MLTradingBot
This program creates a trading bot that uses sentiment analysis on financial news to inform trading decisions. Made using Python, Lumibot, Alpaca API, and FinBERT.
WatsonAIMultiAgent
A multi-agent system using IBM Cloud WatsonAI LLM, CrewAI, and Serper API to automate research and speech-writing tasks. Built with Python and integrates Watsonx AI, CrewAI framework, and the Serper API for web search capabilities.
SabeehHassany's Repositories
SabeehHassany/Email-Spam-Detector-DecTreeClass
Using a decision tree classification model to identify spam emails based on the specific occurrence of certain features and patterns within the email text. The dataset contains over 54 feature variables from over 4000 emails and can be used to make a custom email spam detector.
SabeehHassany/museEEG
A repository of cool programs that utilize the 2016 muse eeg headband. Python based.
SabeehHassany/Diagnosing-Urinary-Diseases-NaiveBYS
Using a Gaussian Naive Bayes model to diagnose acute urinary inflammation and acute nephritises. Achieved a level of 90% and 95% diagnosing separately and nearly 100% with diagnosing together.
SabeehHassany/Predicting-Customer-Purchase-LogisticReg
Using Logistic regression to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of above 92%!
SabeehHassany/Predicting-Online-Purchase-RanForestClass
Using a random forest classifier to identify whether customers purchase something online based on user activity and clickstream data. The dataset contains over 12000 users and the model accomplishes a nearly 90% accuracy.
SabeehHassany/Churn-Prediction
Live customer churn prediction based on Telco Dataset using Sklearn, Flask API, Docker, and Heroic for deployment
SabeehHassany/Jots-App
A rudimentary Twitter clone that allows users to post short messages (“jots”), follow and create unqiue channels, and receive real-time notifications for new posts. The project focuses on basic social media features and backend development concepts. Built using Go, Redis, MySQL, and WebSockets.
SabeehHassany/PantryTracker
This application helps manage a inventory database using Javascript, Next.js, Material UI, and Firebase.
SabeehHassany/Python-MLTradingBot
This program creates a trading bot that uses sentiment analysis on financial news to inform trading decisions. Made using Python, Lumibot, Alpaca API, and FinBERT.
SabeehHassany/WatsonAIMultiAgent
A multi-agent system using IBM Cloud WatsonAI LLM, CrewAI, and Serper API to automate research and speech-writing tasks. Built with Python and integrates Watsonx AI, CrewAI framework, and the Serper API for web search capabilities.
SabeehHassany/Facebook-Engaged-User-Prediction-MLR
A multiple linear model predicting lifetime engaged users on a cosmetic company's Facebook page. Data extracted from post metrics from over 500 posts in 2014. Achieved an accuracy of nearly 80%!
SabeehHassany/Facebook-Engaged-User-Prediction-SVR
A support vector regression model predicting lifetime engaged users on a cosmetic company's Facebook page. Data extracted from post metrics from over 500 posts in 2014. Achieved an accuracy of over 80%!
SabeehHassany/Future-StartUp-Profit-Prediction-DecTreeReg
Using a decision tree regression model to predict the future profits of a group of 50 startups based on a multiple metrics. Achieved a accuracy of 95% only with 50 rows of data!
SabeehHassany/Future-StartUp-Profit-Prediction-RanForestReg
Using a random forest regression model to predict the future profits of a group of 50 startups for ideal investing purposes. Achieved an accuracy of 96% only with 50 rows of data!
SabeehHassany/Predicting-Abalone-Age-KernelSVM
Using a linear kernel SVM classification model to determine the age group of abalone sea snails. Reached an accuracy rate of 80%.
SabeehHassany/Predicting-Customer-Purchase-KernelSVM
Using a Kernel SVM model to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of 95%!
SabeehHassany/Predicting-Customer-Purchase-KNN
Using a KNN model to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of 95%!
SabeehHassany/RateMyProf-AI-Assistant
A RAG powered AI assistant built using OpenAI, Pinecone, Next.js, and Material-UI. This project retrieves professor reviews from a vector database and generates informed responses using GPT-3.5.
SabeehHassany/Salary-Prediction-with-PolyReg
Using a Polynomial Regression model to predict the base salary of a new employee joining a company based on prior years of experience/level.
SabeehHassany/v2