@Saba

Fake smile is an emotional sign on the face that can be used as information for non-verbal communication. One of its functions is for lie detection purpose based on the information of emotional sign generated on the face. The emergence of fake smile indicates that there are negative emotions, uncomfortable feeling, and something hidden in a person. This research aims to detect fake smile. In fact, real smile is characterized by the contraction of zygomatic major muscle on the edge of mouth corner and obicularis oculli muscle on the eyelids. However, on a fake smile, zygomatic major muscle experiences contraction, but obicularis oculli muscle doesn't contract. Contraction of the zygomatic major muscle is identified by the appearance of wrinkles on the cheeks corner of the mouth, whereas obicularis oculli contraction is identified by the feature value of eye elongation. On the test image, segmentation of RoI (Region of Interest) is done on cheeks and eyes. With the growing era of social media, it is difficult to identify the real from fake whether it is any news or face/video of any celebrity, politician, etc. Also, the fake or manipulated faces and videos are being generated enormously which are harder to detect by traditional means of software or methods.

Transformers are context-learning neural networks. They learn by tracking relationships in sequential data, for example, words in sentences. You might know them as some of the best AI models in the market - OpenAI’s GPT-3 and Cohere In our 3-day Hackathon, organized along with the Swiss AI Association, you’ll use context-learning neural networks to build solutions with people from all around the globe and have an opportunity to pitch your AI Prototypes worldwide. Jump in to learn more about harnessing the power of Transformers!

Join us for a hackathon where we will be using OpenAI Whisper to create innovative solutions! Whisper is a neural net that has been trained to approach human level robustness and accuracy for English speech recognition. We will be using this tool to create applications that can transcribe in multiple languages, as well as translate from those languages into English. This will be a great opportunity for you to learn more about speech processing and to create some useful applications!

It is our pleasure to welcome you to the Wolves Summit AI Hackathon. In partnership with Wolves Summit, we are giving the lablab.ai community an opportunity to develop an application to fight for a great cause - Saving Planet Earth. This is a preliminary event of the Wolves Summit conference that will take place in Vienna, Austria on 20-21 October 2022. Current world events show us that actions towards environmental safety are necessary. Do you have what it takes to protect the planet using Artificial Intelligence? Join us and innovate to build a better future for everyone!