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Mute people aiding application
Communication is an essential tool for human survival. It is a fundamental and effective method of sharing thoughts, needs, feelings, and opinions. However, a large portion of the world's population lacks the ability to communicate with others. Such as the ones suffering from hearing loss, speech disability, or even both. Those disabilities have a significant impact on their lives in terms of work and relationships. The majority of these people are sometimes unable to support themselves financially due to the lack of job opportunities. Given these difficulties, we have decided to develop an application to help them overcome the obstacles they may encounter in their daily lives. After consulting with two deaf and mute people we customized an application that works in two ways. One of which is to translate their sign language in real time by using mobile camera and recognizing hand motion. The other works by converting text-to-voice, and accurately expressing the user’s emotions with the help of the facial emotion recognition.
Hearing faces
Our project aims to aid deaf-mute people by tracking hand movements of the deaf-mute person for word level American Sign Language using WLASL model that include 2D CNN -3D CNN and RNN networks training on WLASL large video dataset, then generating the corresponding text and analyzing the person's facial gestures to generate information related to the tone of voice that is most appropriate to the person's age, gender, and race through MTCNN network algorithm that training on generated dataset by us depending on blending VOXCELEB dataset and VGGFACE dataset .
Blind smart helmet
The Smart Helmet for the Blind is a project aimed at providing solutions for the challenges faced by blind individuals in their daily lives. The problem of detecting objects, identifying obstacles and distances, knowing the current location, and using a mobile application is a common issue for blind people. To address these problems, the Smart Helmet project was created, utilizing advanced technology and artificial intelligence to provide real-time assistance to the wearer. The helmet is connected to a Raspberry Pi 4, which processes information from the helmet's cameras and AI algorithms to analyze and predict the surrounding environment for a blind person.
Arabic talking heads
The need for someone to talk to about what is going on inside us while ensuring privacy has become a necessary requirement, especially since some people in our Arab societies judge people who visit a psychiatrist as mentally ill. Therefore, in this project, we propose a solution to the previous problem, where an Arabic-speaking robot, through an interactive chat application can mitigate the psychological and negative effects that humans are exposed to in various cases.
