Integration of Hugging Face t5 emotion recognition #330
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This project is part of the Fetch.ai hackathon submission at NIT Goa. We were given a Hugging Face model - t5-base-finetuned-emotion (text-to-text model) to use the model to detect emotions in conversations.
We aimed to use the given Hugging Face Model for Emotion Recognition combined with Gemini API to build a mental health therapy platform. This platform is powered by two micro-agents implemented using the the uagents library. The platform analyses conversations and recommends therapists to the user based on their current state of mind. We aimed to make a pseudo-anonymous platform that helps anyone find therapists around them.