EarlyLife

Inspiration

Healthcare today often waits until a problem becomes serious before acting. We were inspired by a simple idea: What if everyday devices—like smartphones—could detect early signs of illness before symptoms become severe?

What it does

EarlyLife analyzes three major health dimensions using multimodal AI: 🫁 1. Respiratory Health 🧠 2. Cognitive & Mental Health 😐 3. Emotional & Behavioral Wellness

What we learned

The power of multimodal AI—combining audio, visual, linguistic, and behavioral data leads to stronger predictions. • How early signals in speech and posture can indicate deeper health patterns. • The importance of ethical AI, privacy, and user trust in health applications. • Real-world challenges in building preventive healthcare tools. • How simple signals (a cough, a voice sample) contain meaningful medical insights.

Built With

• firebase
• flask/fastapi
• google-cloud
• huggingface-transformers
• librosa
• mediapipe
• mongodb
• onnx
• opencv
• python
• react.js
• tailwindcss
• tensorflow
• webrtc