Recognizing the growing need for accessible mental health tools, I led the development of EmoJournal. This project explores how speech analysis can identify early warning signs of mental health challenges that might otherwise go unnoticed. As the Project Manager and a Machine Learning Engineer, I guided the team in building a system that analyzes the acoustic features of a user's voice to detect emotional states. We believe that by leveraging AI and machine learning, we can create more empathetic and proactive healthcare solutions.
- Technologies Used: TensorFlow, Python, Deep Learning, Speech Recognition APIs
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