Inspiration
Millions of elderly people live alone and unnoticed. We wanted to create a system that listens beyond words — understanding emotions and ensuring no senior feels forgotten.
What it does
EchoCare uses AI to analyze voice tone, emotion, and speech patterns to detect loneliness, stress, or health issues. It alerts families and connects elderly users for emotional support.
How we built it
We integrated speech emotion recognition models, IoT voice sensors, and a Flask-based AI backend. Data is processed in real time, and alerts are sent through a connected mobile dashboard.
Challenges we ran into
Training emotion detection models for diverse voice tones
Balancing privacy with constant audio monitoring
Ensuring real-time alerts with low latency on limited hardware
Accomplishments that we're proud of
We built a working prototype that truly understands human emotion through voice. Our demo successfully detected loneliness and triggered timely alerts — proving real-world feasibility.
What we learned
We learned how AI can sense empathy, the importance of ethical voice data handling, and how technology can make aging safer and more connected.
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