Objective: We aim to assist visually impaired people to efficiently interact and attend virtual meetings.
The problem we are aiming to solve: solves problems related to accessibility and involvement of the visually impaired in online meetings, such as inability in visually locating and pressing the specific keys to access the desired features like mic button, etc. Our project will enable them to quickly access all the desired features on an online platform using hand gestures as a tool.
Novelty of our project: We have implemented new visual and audio features for enhancing accessibility on online platforms which previously didn’t exist. Our features can drastically enhance the interaction of visually impaired people in online meetings and allow effective communication and interaction required for socializing and learning on an online platform.
Tech Stack: Python – OpenCV, Django, JavaScript - Speech Recognition, HTML, CSS, Bootstrap
Implementation: We will use our website to implement our novel features. We will use OpenCV for image processing and will use Django as the backend. We will use specific hand gestures and map them with buttons like Mute/Unmute, Hand raise, etc recognised by a distinct sound cue. We will also add an additional Speech recognition feature using JavaScript. So on pressing a particular hotkey, user's speech gets converted to text which be sent in the chats or can be used as commands. Future Scope: As we are freshers, we are learning how to build our project as a chrome extension. If not possible during the hack, we will definitely try to build it after the hack. As a chrome extension, it can be used over any video conferencing service to access our cool features.
Business Model - We aim to license out the extension to the major online video conferencing platforms.
**Future Scope: We plan to develop and provide our services through a web browser extension in collaboration with any leading video conferencing platform.
**How to run this