Poor Man's Rekognition

Imagine a machine that can understand who was the main villain of Avengers: Endgame or what kind of relationships did Daenerys and John Snow have? With the rapid advance of Deep Learning algorithms, we can actually make our computational beasts do the things that even Alan Turing and John von Neumann could not dream about.

The goal of this project is to create an open-source alternative to Amazon Rekognition, which aims to surpass the capabilities of its proprietary counterpart. The main focus of the current GSoC project is facial detection and recognition. However, in the long term, the aim is to offer a wide array of options ranging from object classification and image segmentation for videos to text analysis of subtitles and conversion of audio to text.

Moreover, in order to make it easier to digest and understand vast amounts of the extracted data, this project will offer visualization and analysis tools in the form of a Web application that will allow users to build relationship graphs and get insights from extracted data.