Emotion Weather is an interactive emotion tracking project that collects user sentiment through QR code sharing.
By leveraging AI, it analyzes collective emotional trends using weather metaphors — offering engaging and meaningful emotional feedback and visualizations.
사용자들이 공유한 QR 링크를 통해 감정 데이터를 수집하고,
AI 기반 분석 시스템이 기상 용어를 활용하여 감정 상태를 체계적이고 흥미롭게 해석 및 예측합니다.
따뜻한 피드백과 이모지 시각화를 통해 사용자 간 감정 공유와 커뮤니티 내 정서적 통찰을 제공합니다.
- Generate QR codes for group sharing
- Input your current or future emotional state (via emoji)
- Store all emotion data in PostgreSQL
- Generate warm, empathetic feedback using the OpenAI API
- Summarize and visualize group-wide emotional trends
- Backend: FastAPI (Python)
- Frontend: JavaScript (Vanilla JS or React)
- Database: PostgreSQL
- AI: OpenAI API (GPT)
- Deployment (Planned): Railway / Vercel / Render 등
git clone https://github.com/hyejinggu/emotion-weather.git
cd emotion-weatherpython3 -m venv venv
source venv/bin/activatepip install -r requirements.txtuvicorn main:app --reload- Swagger: http://localhost:8000/docs
- ReDoc: http://localhost:8000/redoc
- Build emotion input API
- Connect PostgreSQL and persist data
- Implement QR-based group management
- Integrate OpenAI API and parse responses
- Create the group emotion summary page
- Deploy the project
This is a personal side project and a learning experiment to explore how FastAPI and OpenAI can be combined to create a meaningful, emotion-aware web experience.