🧬 Scientific Abstract Analyzer

A machine learning–based application that classifies biomedical abstracts into clusters such as epigenetics, AI in oncology, and multi-omics using transformer embeddings and logistic regression.

This project was built as a portfolio-ready research tool and is deployed with Gradio on Hugging Face Spaces.

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🔗 Live Demo

Try it now:
👉 https://huggingface.co/spaces/Arifemreak/abstract-analyzer

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💡 Features

• ✅ SentenceTransformer model (all-MiniLM-L6-v2)
• ✅ KMeans Clustering on embeddings
• ✅ Logistic Regression Classifier
• ✅ Cosine similarity scoring
• ✅ Feedback logging system
• ✅ Gradio Interface
• ✅ Deployed on Hugging Face Spaces

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📁 Files

File	Description
app.py	Main Gradio app file
requirements.txt	Python packages
makale_ozetleri_tumlesik.csv	Input dataset (abstracts + titles)
README.md	Project description

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📊 Screenshot

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✉️ Author

Arif Emre Aksebzeci
Molecular Biology and Genetics undergraduate
Passionate about AI in medicine & bioinformatics