What makes you a strong team?
We are a strong team because we bring a diverse range of skills, expertise and experiences to the table. Each team member has a unique background in areas such as AI, software development, mental health, neuroscience and start-up advice. This diversity allows us to approach challenges from multiple perspectives and come up with innovative solutions. We also have a strong collaborative spirit and effective communication, enabling us to work seamlessly together towards a common goal.
Explain your idea in three sentences.
SpeakSense AI Diagnostics revolutionises medical diagnosis by accurately detecting and diagnosing depression through speech pattern analysis. Our voice-based application uses AI technologies to provide a non-invasive, quick and convenient way to identify individuals at risk, improving access to mental health care. With its innovative approach, SpeakSense aims to reduce the burden on the healthcare system and enhance the well-being of individuals struggling with mental health issues.
What makes your idea special?
What sets our idea apart is its unique combination of voice-based analysis, AI technologies and user-friendly interface. SpeakSense offers an innovative solution that accurately detects and diagnoses depression through speech patterns, making it a powerful tool in the medical ecosystem. Its ability to provide quick and convenient assistance, including indications of suicidal danger, makes it a cutting-edge solution that has the potential to revolutionise how we approach mental health care.
What’s next?
Our collaboration with KI-Gründerlab, the Institute for Education and Social Innovation, and University Hospital Schleswig-Holstein (UKSH) will focus on refining our concept and securing funding from Civic Innovation. Moving forward, we will dedicate our efforts to further developing the SpeakSense tool and creating a functional prototype of our innovative solution. By leveraging the expertise and resources of our partners, we aim to bring our idea to fruition and make a meaningful contribution to the field of mental health diagnostics.