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Erandi-Hans/README.md

Hi there 👋, I'm Erandi Hansika

Undergraduate at University of Vavuniya | Full-Stack Developer (React.js & .NET Core) | NLP Researcher


About Me

I am a passionate developer and researcher dedicated to building scalable web applications and exploring the depths of Semantic Computing.

  • Currently researching Semantic Keyword Extraction at IYKONS Industry Research Park.
  • Specialized in the React.js and .NET Core technology stacks.
  • Technical writer on Medium, sharing insights on NLP and Web Development.

My GitHub Metrics

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Skills & Interests

  • Frontend: React.js, Vite, Tailwind CSS, Framer Motion
  • Backend: .NET Core, C#, SQL Server, REST APIs
  • Data Science: Python, Semantic Computing, NLP (KeyBERT, YAKE, BERT)
  • Methodologies: Agile, Jira, Git/GitHub

Let's Connect

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  1. kronix-agency kronix-agency Public

    A modern digital agency landing page built with React, Vite, Tailwind CSS, and Framer Motion

    JavaScript

  2. Semantic-Keyword-Explorer-BERT-Colab Semantic-Keyword-Explorer-BERT-Colab Public

    An end-to-end NLP application built with KeyBERT, Streamlit, and Google Colab to extract semantic keywords from PDF documents using BERT embeddings.

    Jupyter Notebook

  3. Semantic-Keyword-Explorer-BERT-RoBERTa-better-Accuracy--Colab Semantic-Keyword-Explorer-BERT-RoBERTa-better-Accuracy--Colab Public

    A powerful Semantic Keyword Extraction tool built with BERT (RoBERTa) and Streamlit. Features high-accuracy keyword analysis from large documents using Semantic Computing techniques

    Jupyter Notebook

  4. SkillPivot-Backend SkillPivot-Backend Public

    SkillPivot-Backend

    C#

  5. SkillPivot-Frontend SkillPivot-Frontend Public

    SkillPivot-Frontend

    JavaScript

  6. Keyword-Extractor-Python Keyword-Extractor-Python Public

    An AI-powered Keyword Extraction tool that allows users to upload PDF documents and automatically extract the most relevant keywords using the KeyBERT model and Streamlit for the frontend.

    Python