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jayalath-jknr/README.md

πŸ‘‹ Hi, I'm J. K. N. R. Jayalath

Welcome to my GitHub profile! I'm an enthusiastic developer and researcher from Sri Lanka, passionate about leveraging technology to solve real-world problems. My work spans various domains, including web development, mobile applications, AI, and data science.

🌟 Projects and Contributions

🌱 Plant Doc

An all-in-one mobile application for home gardeners. 'Plant Doc' helps users manage their gardens, identify plant diseases, and much more using Flutter, Firebase, ARCore, and machine learning.

πŸŽ“ Codementor-AI

An intelligent system designed to provide personalized learning experiences and automated assignment grading. Built with Python, Streamlit, ai71, and Falcon.

πŸ”¬ Sinhala Biology Tutor (2024)

A Biology tutor RAG-based chatbot application for students to learn biology using natural language. Developed using Cohere Aya, ChromaDB, Python, Truelens, Clarifai, Langchain, and Streamlit.

🧠 PsychGENGPT - AI-based Mental Health Companion (2023)

A natural language-based mental health companion bot providing psychological support to users. Built with Assistants API, GPT-4 Vision, DALL-E Image Generation API, and Streamlit.

πŸŽ“ Learning Management System (2024)

A robust and scalable Learning Management System (LMS) repository for managing educational content. Developed using React.js, Python, MongoDB, FastAPI, and Cleark.

πŸ‘οΈβ€πŸ—¨οΈ Object Detection System for Visually Impaired People (2022)

A prototype web-based application that identifies objects and provides instructions to visually impaired people. Developed using React.js, TensorFlow coco-ssd API, and ESP 32 Cam.

πŸ” Web Sequence Mining for Usability Improvement

A research project aimed at enhancing user experience in mobile applications using web sequence mining techniques. Focused on the agriculture sector, this project analyzes web log data to improve usability.

πŸ› οΈ Skills

  • Programming Languages: Python, Dart, JavaScript, HTML/CSS
  • Frameworks & Libraries: Flutter, React, Streamlit, TensorFlow
  • Tools & Technologies: Firebase, ARCore, Git, GitHub, Docker
  • Research & Development: Web Sequence Mining, Machine Learning, AI, Agent Based Modelling and Complex Systems

🎯 Goals

  • Continue exploring AI and machine learning applications in various industries.
  • Build and contribute to open-source projects that make a difference.
  • Share knowledge through blogs, tutorials, and community engagement.

πŸ“« Let's Connect

Popular repositories Loading

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    This is a repo for cognitive services REST API samples in 4 languages: C#, Java, Node.js, and Python.

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