Veedo

What if you could input text, a tweet, or a news article and intelligentlly generate a video contextually relevant? We wanted to create meaningful content using a medium relevant to the post text generation.

The app is still in prototype phases on iOS (Swift), it uses a combination of different services including NLPKit. To understand the text input. Users can then generate a video output. The video can also be edited with alternative suggested content. Users are also able to add in their own video by using the phone camera.

The backend was built scrapping popular RSS feeds and cross referencing meta information to tag media content for use. We piped in NLP into the backend with IBM Watson services to identify emotion and relevance in relationship to the media assets.

Passive consumption has worked since the invention of the television. From a consumer perspective we are creating a tool that can voice people's thoughts or emotions. From a business perspective the platform can automate and streamline a lot of video production work. By leveraging a businesses tagged content library the platform could generate contextual relevant video assets, from text.