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concurrent-programming

Multi-threaded Java programming, synchronisation and Reentrant Lock techniques were considered separately.

cost-effective-sri-lankan-diet-optimization

Optimization solution to generate the best-diet plan for a person using Sri Lankan foods while keeping the total cost of the diet plan to a minimum.

finance-calculator

The financial-calculator has the capability of undertaking typical financial calculations such as savings, loans, and mortgages.

greenwave

gym-management

This project has the capability of managing all the details of the GYM users. In addition to that application contains a GUI which visualizes the user details. Also this application is connected to a database which stores the all management data.

k-means-clustering-analysis

K-means clustering, analyzed vehicle silhouettes to uncover distinct groupings, revealing similarities and differences in their visual characteristics.

keras-applications

Reference implementations of popular deep learning models.

multi-behavior-learning

multi-behavior-learning-for-socially-compatible-autonomous-driving

Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then integrated it with reinforcement learning-based Autonomous Vehicles policy synthesis using Social Value Orientation (SVO) theory to learn diverse levels of socially compatible driving.

premier-league-manager

Developed a web-based application and a GUI to manage all the player details and the team details of the Premier League Football Tournament.

robot-maze

Developed a B specification of a Robot moving around a simple Maze, using the B tools Atelier B & ProB.

socially-compatible-autonomous-driving

time-series-analysis

This project uses neural network to accurately forecast exchange rates.

uask

A virtual assistant for the visually impaired designed using React Native,NodeJS & Machine Learning

vqa-demo-gui

This repository gives a GUI using PyQt4 for VQA demo using Keras Deep Learning Library. The VQA model is created using Pre-trained VGG-16 Weight for image Features and glove vectors for question Features.