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1. invoice_ai_automation invoice_ai_automation Public

   This project transforms messy invoice images into a structured, searchable knowledge base. The pipeline automatically extracts text with Tesseract, uses Google Gemini to parse fields (vendor, total…

   Python 2

2. Programming_Project_Clustering Programming_Project_Clustering Public

   An unsupervised clustering analysis of over 57,000 GitHub projects using their README.md text. This study compares traditional keyword methods (TF-IDF) against modern semantic embeddings (Sentence-…

   Jupyter Notebook 2 1

3. topic_modeling_github_readmes topic_modeling_github_readmes Public

   This project presents a comprehensive comparison of classical, embedding-based, and hierarchical (hyperbolic) topic modeling approaches on over 57K GitHub README files, highlighting the proposed G…

   Jupyter Notebook 2

4. repo_topic_classification repo_topic_classification Public

   This project automatically classifies GitHub repositories using README.md text. It combines classical ML models with fine-tuned Transformers (Mistral-7B + PEFT/LoRA) on a large dataset of 50+ IT to…

   Jupyter Notebook 2

5. github_dev_network_clustering github_dev_network_clustering Public

   This research focuses on group detection and collaboration analysis among GitHub developers. It builds a commit-based collaboration network, where nodes represent developers and edges indicate join…

   Jupyter Notebook 1 1

6. Invoice-data-extraction Invoice-data-extraction Public

   This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..

   Python 2 1