SafeSpot Austin

SafeSpot Austin is a citizen-powered safety reporting and monitoring platform built during RiverHacks25. This application enables residents to report safety concerns across Austin, facilitating collaboration between citizens and city officials to make Austin safer.

🌟 Features

• Real-time Incident Reporting: Report safety concerns with geolocation tagging
• Interactive Maps: Visualize safety issues across Austin with heat maps and clustering
• Data Analytics: Track trends and visualize safety statistics across neighborhoods
• Community Verification: Upvote legitimate concerns, mark resolved issues
• Agency Integration: Direct routing of reports to relevant city departments

🏆 Project Track

This project was developed for RiverHacks25 in the Austin Community Engagement Track, aiming to enhance civic safety and participation.

🧰 Tech Stack

Backend

• Flask (Python web framework)
• RESTful API architecture
• Data integration with Austin Open Data Portal

Frontend

• React.js
• React Router for navigation
• Leaflet.js for interactive maps
• Chart.js for data visualization

📊 Data Sources

SafeSpot Austin leverages several datasets from the Austin Open Data Portal:

• Crime Reports: https://data.austintexas.gov/Public-Safety/Crime-Reports/fdj4-gpfu
• 311 Service Requests: https://data.austintexas.gov/dataset/311-Unified-Data/i26j-ai4z
• Street Segments: https://data.austintexas.gov/dataset/Street-Segments/6ab4-ej5v
• Traffic Incidents: https://data.austintexas.gov/Transportation-and-Mobility/Real-Time-Traffic-Incident-Reports/dx9v-zd7x

🚀 Getting Started

Prerequisites

• Node.js (v14+)
• Python (v3.8+)
• npm or yarn
• pip

Backend Setup

# Clone the repository
git clone https://github.com/yourusername/safespot-austin.git
cd safespot-austin/backend

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the Flask server
python app.py

Frontend Setup

# Navigate to client directory
cd ../client

# Install dependencies
npm install

# Start the development server
npm start

The application will be available at http://localhost:8080

📱 Usage

1. Report an Issue:

   • Click "Report Issue" button
   • Allow location access or enter coordinates
   • Select category and add description
   • Upload photo evidence (optional)
   • Submit report

2. Explore Issues:

   • Navigate the interactive map
   • Filter reports by category, status, or date
   • Click on markers to view details

3. Track Statistics:

   • View citywide safety trends
   • See resolution rates by category
   • Compare neighborhood safety metrics

🛠️ Future Enhancements

• User authentication for report tracking
• Mobile app versions (iOS/Android)
• Machine learning for issue classification
• Integration with emergency services API
• Automated alerts for recurring issues

👥 Contributors

• Hiram Riddle - Full Stack Developer
• Abel Rincon - Frontend Developer
• Michael Weber - Full Stack Developer
• Christian Lindquist - Backend Developer

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgements

• Austin Open Data Portal for providing datasets
• RiverHacks25 organizers and sponsors
• Leaflet for mapping capabilities
• Chart.js for data visualization tools