(Under development)A simple Box2D+Javascript game adapted to Angular.js+Node.js

I'm adapting the native javascript version of this game to Angular.js The current version has been improved with some features. In addition to that, users can login/signup through a RESTful Node.js server. The server has a few methods so far, which store the user information like name, email, score. Since it's still under implementation, I will add more features and more methods subsequently. The server is implemented with Node.js and deployed on Heroku. To cunsume the server go to This For game sound, SoundJS is used. Coming Soon. 1. Pause functionality. 2. A control menu, to start the game view high scores etc. 5. Create new objects in the game, extend the concept. Feel free to send questions or feedback. Thanks Resources and Credits Original Article http://www.binarytides.com/make-html5-game-box2d-javascript-tutorial/

Driver Check App in Meteor.js

Utilizing UBER API, the app retrieves the cars provided, makes an analysis using Microsoft's Face API and estimates driver's age, gender. In addition to that, the image is compared with the driver history and checks if there has been any other ride with the same driver. The app utilizes UBER and REST APIs, implemented in Meteor.js and wrapped in PhoneGap.

A simple demonstration for Liquid Software Concept

We are having weekly meetings about Liquid Software concept on every Friday at the Software Department of Tampere University of Technology. As we discussed, UI limitations of various mobile devices, I came up with an idea of creating a unique mobile framework for liquid applications with Angular directives I played with Mobile Angular UI framework and created our own liquid directives.

Photo Edit in Windows Phone OS 7.1

P-Basic layout management -Raw image data manipulation. -Photo choosing task, zoom, save, modify. This is my first WP app using Silverlight, I just wanted to get familiar with Windows Phone and created this application with a neat coding. Performance and development tools are quite good. UI design might be tedious sometimes but once you get used to it, you use the tools easily.

Smart Image Browsing

Smart Browsing Application Demo is the outcome of a research on content-based image retrieval in mobile devices. We showed only the possible use case of the research. We propose that image browsing and searching applications should categorize images based on all available information separately. If the user is initiating the query with image (Query by example) as represented in Figure 1, user might be interested in finding: a) Semantically similar images that contains same content b) Images taken at the same day c) Images taken at the same or nearby locations d) Images that are tagged similarly by other users This application is only a prototype demonstrating the possible use case of the research. The back-end server does not exist for image processing. All the actions are performed offline. The video that explains the application is below.

Abacus Mobile

The Abacus application is implemented to test the performance of QML UI with Javascript and C++ extensions. The UI is purely qml, the opening scene contains Box2D physics engine plugin and the logic of the game is written in Javascript.

ANGEL (VIDEO of the DEMO coming soon)

A BLE(Bluetooth Low Energy) wearable gadget that can be attached to keys (or just about anything) and be located via Bluetooth when you're close enough, and via a crowdsourced community of users and people that install the app. The use case is attaching the gadget to people in nurseries and children in daycare centers and locating them using the free iOS app. The website: http://angel.safetracing.com


  • U.K

The goal is to analyze and utilize available tags to categorize database images to form a training dataset over which a dedicated classifier is trained and then used for image classification. Our framework contains a semantic text analysis tool based on WordNet to measure the semantic relatedness between the associated image tags and predefined class labels, and a novel method for labeling the corresponding images. The classifier is trained using only low-level visual image features. The experimental results using 7 classes from MirFlickr dataset demonstrate that semantically analyzing tags attached to images significantly improves the image classification accuracy by providing additional training data