BhashaBuddy is a groundbreaking platform designed to support individuals coping with stuttering. At its core, our platform features a cutting-edge stutter detection model that accurately diagnoses various types of stutters, providing users with invaluable insights into their speech patterns and aiding in their understanding and management of the condition.
In addition to this innovative diagnostic tool, our platform offers a comprehensive suite of assignment and teaching modules. These modules are complemented by a unique reward-based system that incentivizes users to engage consistently with their speech practice, a crucial element in achieving lasting improvement.
One of the standout features of our platform is our specialized LLM chatbot, meticulously trained using the powerful Llama 7B model. This chatbot serves as a personalized guide for users, offering tailored advice, support, and information on speech intervention, enhancing the user experience and providing valuable assistance on their journey to improved speech fluency.
Furthermore, our platform fosters a sense of community and solidarity among users through the option to write a diary and share daily experiences of living with stuttering. This feature encourages self-expression, reflection, and connection with others facing similar challenges, creating a supportive environment for growth and progress.
In summary, our website represents a pioneering approach to speech intervention, leveraging advanced technology, personalized support, and community engagement to empower individuals in overcoming the challenges of stuttering.
During the development of our project, we encountered several challenges that required creative solutions and perseverance. One significant hurdle was the creation of a comprehensive dataset to illustrate various speech disorders like prolongation, repetition, and blocking. This involved meticulous curation and collaboration with speech therapists to ensure accuracy. Additionally, integrating multiple servers with our website posed technical complexities, demanding thorough testing and collaboration with server administrators. Furthermore, integrating Redis with our global chat feature while ensuring website scalability presented another obstacle, which we addressed through careful configuration and implementation of scaling strategies. Despite these challenges, our team's dedication and problem-solving skills enabled us to overcome each obstacle, resulting in a robust and effective platform for stuttering support.
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