SaraSobhi/Project-of-emotion-detection-smart-gov-services2

Jupyter Notebook

0

13 commits

updated Dec 15, 2025

See the code

README

GovCare Project

Full-stack feedback management system with sentiment analysis.

Quick Start with Docker

# Start all services
docker-compose up -d

# Access the application
# Frontend: http://localhost:8000
# Backend API: http://localhost:5000

Services

  • Frontend (Port 8000) - GovCare web interface
  • Backend (Port 5000) - Main API service
  • ML Service (Internal) - Sentiment analysis
  • PostgreSQL (Port 5432) - Database

Documentation

Development

Run Individual Services

Frontend (Demo Mode):

cd frontend
pip install -r requirements_minimal.txt
python app_demo.py

Backend:

cd backend/main_service
pip install -r requirements.txt
python app.py

ML Service:

cd backend/ml_service
pip install -r requirements.txt
python predict.py

Architecture

Frontend (8000) → Backend (5000) → ML Service (5001)
                       ↓
                  PostgreSQL (5432)

Demo Credentials

  • Username: admin
  • Password: admin123

SaraSobhi/Project-of-emotion-detection-smart-gov-services2

Jupyter Notebook

0

13 commits

updated Dec 15, 2025

See the code

README

GovCare Project

Full-stack feedback management system with sentiment analysis.

Quick Start with Docker

# Start all services
docker-compose up -d

# Access the application
# Frontend: http://localhost:8000
# Backend API: http://localhost:5000

Services

  • Frontend (Port 8000) - GovCare web interface
  • Backend (Port 5000) - Main API service
  • ML Service (Internal) - Sentiment analysis
  • PostgreSQL (Port 5432) - Database

Documentation

Development

Run Individual Services

Frontend (Demo Mode):

cd frontend
pip install -r requirements_minimal.txt
python app_demo.py

Backend:

cd backend/main_service
pip install -r requirements.txt
python app.py

ML Service:

cd backend/ml_service
pip install -r requirements.txt
python predict.py

Architecture

Frontend (8000) → Backend (5000) → ML Service (5001)
                       ↓
                  PostgreSQL (5432)

Demo Credentials

  • Username: admin
  • Password: admin123