Breinify's iOS API Library
Using Natural Language Processing to detect the sentiment of tweets targeting airline companies to classify them as positive or negative reviews. Analyzed the performance of prediction accuracy using four analytical models – Support Vector Machines, Multinomial Naïve Bayes, Random Forest Classification and Logistic Regression.
AI-powered FDA document intelligence system using Retrieval-Augmented Generation (RAG) to analyze FDA 483 inspection reports and provide accurate, compliance-grade answers through a Streamlit interface.
Bu uygulama, eğitim içeriklerinin sunulduğu ve kullanıcıların kurslara katılabileceği, videoları izleyebileceği, ve eğitim materyalleriyle etkileşimde bulunabileceği bir platformdur. Kullanıcıların eğitim içeriklerine erişimini sağlayan bu uygulama, Firebase, Retrofit, Jetpack Compose, Room ve Navigation gibi güçlü teknolojilerle donatılmıştır.
SQL retail sales case study: cleaned data, explored trends, and generated business insights using joins, aggregations, and time-based analysis.
A polished, local-first Streamlit dashboard for exploring the DVD Rental CSV dataset
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