The problem SenseSync solves

SenseSync is a groundbreaking communication device that converts text or digital content into precise patterns of vibrations. Our highly adept brain excels at processing information and can extract meaning from these designated vibrations, which are delivered through specially designed gloves. These gloves which are powered through ardunio have the remarkable ability to function with any type of input provided to them. However, for this particular project, we have chosen text as the primary input due to its ease of processing and have integrated our text input with braille to produce the best ouput vibration set . By introducing SenseSync, we are opening up an unprecedented realm of possibilities for our brain to engage with the environment in entirely novel ways.

Opening New Possibilities for Human-Environment Interaction: Introducing SenseSync as a communication device opens up new possibilities for human interaction with the environment. This accomplishment is significant as it paves the way for novel ways of perceiving and interacting with digital information, offering a unique and enhanced sensory experience. e.g. This will allow specially abled people like our blind brothers to access to online content for the first time as it would have been impossible for them otherwise.

Challenges we ran into

Designing the Glove: One of the initial challenges was determining the best way to integrate the device into a glove while ensuring comfort, flexibility, and ease of use. It required careful consideration of the placement and arrangement of components to achieve an optimal user experience.

Arduino Programming: Although Arduino is known for its user-friendly nature, coding the device to accurately convert text into specific patterns of vibrations presented its own challenges. It required a deep understanding of the Arduino platform, as well as expertise in programming techniques to ensure the desired output.

Vibration Pattern Mapping: Deciding how to map the text or digital content to the specific vibration patterns was another significant challenge. The team had to brainstorm and experiment with various methods to accurately represent the information in a meaningful and understandable way through vibrations.