Inspiration
Good afternoon, everyone. I’m excited to introduce EquiMind—a tool for proactive mental health management. In our busy lives, stress often goes unnoticed. EquiMind helps track mental well-being using your calendar data, turning it into meaningful insights to support you.
What it Does
EquiMind analyzes your calendar data for a personal mental health assessment. After uploading, it provides mood trends, stress indicators, and personalized suggestions. If needed, it gently suggests seeking professional support.
How We Built It
We used advanced Large Language Models (LLMs) and NLP. Our analysis uses OpenAI’s GPT-4 mini model to detect stress patterns like packed schedules and performs sentiment analysis to assess emotional cues.
Challenges We Ran Into
Key challenges were ensuring data privacy and fine-tuning the model to interpret different types of calendar entries accurately.
Accomplishments That We’re Proud Of
We’re proud to create a supportive tool that turns simple calendar data into actionable insights, making mental health tracking accessible to everyone.
What We Learned
We learned about responsibly applying AI to personal data, prioritizing privacy, and interpreting data in a supportive, non-intrusive way.
What's Next for EquiMind
Next, we plan to add resources like a map of mental health centers, expand the suggestion system, and explore real-time tracking to keep users continuously informed.
Thank you. EquiMind aims to make proactive mental health care simple, secure, and accessible for all.
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