Applications we have built using our frameworks for machine learning.

Web Applications

Have You Seen My Shoes

www.haveyouseenmyshoes.com

This website allows our users to add and share pictures of their shoes with others who love shoes. The framework api allow communications from social media sites like snapchat, facebook and others. They allow the administrators to filter out in-appropriate photos using machine learning photo classification and recognition software. This reduces the administration involved and also helps protect viewers from unwanted content. We also use frameworks to help classify the type of shoes that are posted so that they appear in the correct categories. Restructure or generate descriptions of the shoes and help to locate purchase when a shop postcode is shared.


Help Refer A Friend.

www.helpreferafriend.com

This website allows our users to find help, advice and support in choosing a different household service and share the benefits of any refer a friend schemes.
The framework api allows us to crawl and extract data from various social media sites. Build content and description of a service and any refer a friend schemes
using natural language processing. We can classify the location of these services and automatically categorise them. Thus generating content to quickly refer a new customer quickly and efficiently. We can detect the risks involved in particular service provide impartial reviews and link to review sites to help customer choose better.

Mobile Applications. (Educational Games)

Our Games allow the player to learn by playing rather than just testing them.

Numbers AI.

This mobile game is built for helping young children to learn to add and multiple numbers. The game is available for android and iphone. The app uses the framework to learn and encourage the user to play as long as possible. It detects when the user is fustrated, gives the appropriate rewards and auto sets the level, gives clues for learning.

Currently in test for deployment to play and app store.


WordsAI

This mobile game is built for helping young children to learn the meaning of words by providing clues and letting the user find the anwers in the provided grid . The game is available for android and iphone. The app uses the framework to learn and encourage the user to play as long as possible. It detects when the user is fustrated, gives the appropriate rewards and auto sets the level, sets the appropriate clues.

Currently in test for deployment to play and app store.

QueQueDas

This tablet game is built for helping young children to learning languages. The game is available for android and iphone. The app uses the framework to maximise the rewards achieved while playing. It uses AI to detect and provide the best environment which encourages learning.
Que Que Das provides a complete game which allows parents to monitor the progress of their child, via app and deidicated website.

Provides flashcards for aiding learning but it aim is to encourage children to learn by playing simple games rather than to test them.


An Artificial Inteligence

Skynet

This application is built using all the available frameworks to help solve large problems that can be submitted to interface provided by project avalon and distributed to multiple agents running on client mobiles and desktops utilising any unused processing power.