A newer version of the Streamlit SDK is available:
1.52.1
metadata
title: LifeUnity AI - Cognitive Twin
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.28.0
app_file: app/main.py
pinned: false
license: mit
LifeUnity AI — Cognitive Twin System 🧠
An advanced AI-powered cognitive twin system for emotional tracking, semantic memory management, and proactive wellness insights.
🎯 Features
- 😊 Emotion Detection: Upload your photo for AI-powered emotion analysis using FER models
- 🧩 Cognitive Memory: Store notes with automatic semantic embeddings using Sentence-BERT
- 💡 AI Insights: Get daily wellness reports with stress/productivity predictions
- 📊 Dashboard: Track your emotional trends and memory patterns
🚀 How to Use
- Dashboard: View your current emotional state and statistics
- Mood Detection: Upload a photo of your face to detect emotions
- Cognitive Memory: Add notes and explore your memory graph
- AI Insights: Generate personalized daily wellness reports
🔧 Technology Stack
- Frontend: Streamlit
- AI Models: FER (emotion detection), Sentence-BERT (embeddings)
- Storage: JSON-based (cloud-compatible)
- No API keys required - all models run locally in the Space
📝 Note
This application is optimized for HuggingFace Spaces deployment and uses:
- Image upload only (no webcam support on HF Spaces)
- Lightweight models for fast inference
- Local rule-based AI reasoning
Built with ❤️ for better mental wellness and productivity.