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MeviniNethasa/README.md
Mevini Munaweera

Hi there, I'm Mevini Munaweera!

πŸ“Š Specialization πŸ† Current GPA πŸŽ“ Academic Status
Data Science 4.00 / 4.00 Undergraduate @ SLIIT

I am a third-year B.Sc. (Hons) Information Technology undergraduate student specializing in Data Science at the Sri Lanka Institute of Information Technology (SLIIT). I design intelligent solutions using multi-agent AI systems, machine learning architectures, and modern web tech.


πŸ› οΈ My Tech Stack

Category Technologies
Languages Python Java JavaScript SQL C
Artificial Intelligence CrewAI Google Gemini API RAG FAISS ChromaDB
Machine Learning Scikit-learn LightGBM XGBoost Random Forest TensorFlow Keras CNN
Frontend Frameworks React.js React Native HTML5 CSS3
Backend Frameworks Spring Boot Flask Node.js Express.js
Databases MongoDB Atlas MySQL Microsoft SQL Server
Tools & DevOps Git GitHub Docker Jupyter Notebook VS Code IntelliJ Figma Roboflow

Featured Technical Projects

πŸ€– TalentCore AI | AMD Developer Hackathon (Bronze Badge)

  • Overview: Enterprise AI recruitment platform built to orchestrate automated technical screening.
  • Tech Stack: CrewAI Google Gemini Python React
  • Key Work: Created a multi-agent interview framework to read CVs, dynamically ask adaptive questions, and output analytical evaluation sheets.

πŸŽ“ UniGuide AI

  • Overview: Context-aware virtual student assistant minimizing university query friction.
  • Tech Stack: React Native Node.js Google Gemini MongoDB Vector Search
  • Key Work: Built a semantic search ecosystem using Retrieval-Augmented Generation (RAG) to serve real-time document search results.

Cardiovascular Disease Prediction System

  • Overview: Full-stack machine learning engine tracking cardiovascular risks.
  • Tech Stack: Python LightGBM Flask Spring Boot React
  • Key Work: Cleaned, handled outliers, and feature-engineered over 70,000 health patient records; deployed the pipeline using a decoupled microservices design.

🌿 Plant Disease Detection System

  • Overview: Deep learning computer vision application classifying crop anomalies from raw leaf imagery.
  • Tech Stack: Python TensorFlow Keras Streamlit NumPy PIL
  • Key Work: Designed and trained a custom Convolutional Neural Network (CNN) architecture across an 87,000+ image dataset to execute 38-class real-time inference via an interactive Streamlit UI.

πŸ“¦ Inventory Management System

  • Overview: Full-featured enterprise stock tracking and predictive asset system handling resource operations.
  • Tech Stack: Java 17 Spring Boot 3 Spring MVC Apache Maven JSP Lombok
  • Key Work: Engineered a modular Spring MVC backend featuring dynamic item expiry monitoring via customized Merge Sort pipelines, integrated tracking, low-stock threshold dashboards, and isolated file-based storage patterns.

πŸ† Achievements & Leadership

  • Dean's List Award (4 consecutive semesters) β€” Issued by SLIIT for maintaining a consistent 4.00 GPA performance.
  • lablab.ai Builder Bronze Badge β€” Earned by launching TalentCore AI during the AMD Developer Hackathon.
  • CodeJam Project Chronos Finalist β€” Selected to compete in the final round of a high-pressure software engineering sprint.
  • AIESEC in SLIIT & Mozilla Campus Club β€” Active leadership roles driving customer experience, corporate partnerships, and open-source web literacy.

πŸ“ˆ GitHub Overview

  • ⚑ Core Focus: Multi-Agent AI, Predictive Modeling, and RAG Pipeline Engineering
  • πŸš€ Hackathons: Completed AMD Developer Act II (Earned Bronze Builder Badge)
  • 🌐 Communities: Active open-source advocate and Mozilla Campus Club Member
  • βš™οΈ Workflow: Fully automated CI/CD deployments and modular full-stack architectures

Connect With Me

πŸ“§ Email: mevinimunaweera@gmail.com Β Β |Β Β  πŸ’Ό LinkedIn: ://linkedin.com

*Feel free to explore my repositories or reach out for collaboration on AI, Data Science, or Full-Stack projects!*

Popular repositories Loading

  1. login-app login-app Public

    HTML

  2. Inventory-Management-System Inventory-Management-System Public

    Java

  3. -cardiovascular-disease-prediction -cardiovascular-disease-prediction Public

    Machine Learning-based Cardiovascular Disease Risk Prediction System using Python

    Jupyter Notebook

  4. Plant-Disease-Detection-System Plant-Disease-Detection-System Public

    A deep learning-based web application that detects plant diseases from leaf images using a Convolutional Neural Network (CNN). The system is built with TensorFlow/Keras for the model and Streamlit…

    Jupyter Notebook

  5. -interviewer_agent -interviewer_agent Public

    JavaScript

  6. personality-prediction-api personality-prediction-api Public

    Jupyter Notebook