S.A.F.E. - Sensor Analytics for Forecast Emergencies 🌐

🚨 The Problem

Natural disasters have become more frequent and severe, affecting millions worldwide and causing extensive economic losses. In 2021 alone, over 101 million people were impacted, with damages exceeding $252 billion. Timely and accurate predictions can save lives, reduce economic strain, and equip organizations with the insights needed to respond proactively.

🌟 Our Solution

S.A.F.E. combines cutting-edge data analytics, high-performance computing, and hyperlocal sensor networks to deliver real-time, AI-driven forecasting for natural disaster risk and severity. Our platform aggregates and analyzes vast datasets from:

• Historical Data Sources
• Smart Grid Sensors
• Satellite Networks
• Weather Stations

Through sophisticated machine learning algorithms and advancements in quantum computing, S.A.F.E. provides actionable insights, alerting governments, businesses, and individuals to impending natural hazards and enabling smarter risk management strategies.

💼 Business Model

Our adaptable pricing model ensures accessibility for individuals, corporations, and public administrations:

• Individuals: Subscription-based alerts tailored to personal locations.
• Corporates: Comprehensive disaster risk assessment and custom alert services with subscription fees and API call charges.
• Public Administrations: Disaster response solutions via subscription, hardware installations, and data analytics, enhancing public safety at scale.

🛠️ Future Tech Stack

S.A.F.E. is built on a robust tech stack designed for scalability, accuracy, and real-time data processing:

• AI & Machine Learning: Advanced predictive models for disaster forecasting.
• Quantum Computing: Enhanced computational power for processing large datasets and complex algorithms.
• Cloud Infrastructure: Scalable cloud services for data storage, processing, and distribution.
• APIs: Seamless data access for clients through well-documented APIs.
• Programming Languages: Python

🛠️ How to run the app

1. Install Python

1. Download the latest version of Python from the official website: https://www.python.org/.
2. During installation, check the "Add Python to PATH" option.
3. Complete the installation.

2. Set Up a Virtual Environment

1. Open a terminal (cmd, PowerShell, or Linux terminal).
2. Navigate to the root directory of your project (where SAFE is located):

   cd path_to_your_project/SAFE

3. Create a virtual environment:

   python -m venv venv

4. Activate the virtual environment:

• Windows:

  venv\Scripts\activate

• Mac/Linux:

  source venv/bin/activate

5. Install requirements.txt file (list of dependencies), use: pip install -r requirements.txt
6. Make sure you are in the SAFE/APP directory and then type on CMD:

   python app.py

   or

   flask run

You should see an output similar to this:

• Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

pip install pyinstaller

Let’s make the world safer, together. 🌍