Skip to content
View DularaWijerathne's full-sized avatar
Block or Report

Block or report DularaWijerathne

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
DularaWijerathne/README.md

๐Ÿ‘‹ Hey, I'm Dulara! ๐ŸŒŸ

๐ŸŽ“ Holding a BSc. Degree from the University of Sri Jayewardenepura, I honed my skills in mathematics, computer science, and physics. Later, I specialized in Mathematics through a special degree program, deepening my expertise.

๐Ÿค– Currently pursuing an MSc in Data Science and AI at the same institution, I'm passionate about exploring the vast potential of these fields to solve real-world challenges.

๐ŸŒ Let's delve into the world of Data Science & AI together! ๐Ÿš€

Pinned Loading

  1. Token-Insertion-Model Token-Insertion-Model Public

    Developed neural network using BERT & TensorFlow to predict <X> token placement in sentences. Achieved >90% F1-Score. Automated token insertion based on model predictions.

    Jupyter Notebook

  2. AI-Powered_Restaurant_Assistant AI-Powered_Restaurant_Assistant Public

    This project demonstrates the application of NLP techniques and machine learning to develop a functional chatbot tailored for restaurant-related interactions. Through preprocessing, training, and iโ€ฆ

    Python 1

  3. Heart_Failure_Prediction Heart_Failure_Prediction Public

    The Heart Disease Prediction Model employs machine learning to detect heart disease early. Utilizing a dataset with key features like age, sex, chest pain type, and physiological metrics, the modelโ€ฆ

    Jupyter Notebook

  4. Vehicle_Price_Prediction Vehicle_Price_Prediction Public

    Utilizing a Random Forest regression model, this project predicts car prices in Australia by analyzing essential features. Through meticulous data preprocessing and effective training, the model isโ€ฆ

    Jupyter Notebook

  5. Image_Classification Image_Classification Public

    Developed an image classification script using TensorFlow and Convolutional Neural Networks (CNNs), utilizing the Keras dataset with ten classifications. Trained the neural network to recognize thoโ€ฆ

    Jupyter Notebook

  6. Path_Finder Path_Finder Public

    Developed a maze-solving script in Python, employing the breadth-first search (BFS) algorithm to determine the shortest path between two points within a maze. Implemented the project using the cursโ€ฆ

    Python