CAAIL (Cellular Agriculture AI Library), is a curated, open-source collection of resources dedicated to the intersection of Cellular Agriculture and AI
SenseHub: Aplikasi Web Terintegrasi untuk Analisis Sensoris
Reproducible sensory analytics in R and Python: CATA preprocessing, mixed-effects models, Jaccard repeatability, panel QC, scientific RAG, FastAPI, and CI
Adaptive chatbot for semi-structured interviews on memorable sensory experiences. Captures sensory detail, setting, emotion, personal significance
A website to share the results of a set of Ohio State University apple sensory studies.
Scientific sensory analytics in R with an evidence-grounded RAG API, FastAPI, Hugging Face embeddings, and AI quality monitoring
Unravelling the mystery of papaya flavour
Exploratory Data Analysis (EDA) of Portuguese "vinho verde" wine dataset, examining physicochemical properties and quality scores.
Predict flower sensory category selection from reference-stick panel training using R, scikit-learn, grouped validation, and FastAPI
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