ThunAI - Empowering Women Through AI-Powered Safety Solutions

Project Overview

ThunAI is an innovative AI-powered safety application designed to proactively detect and respond to threats faced by women in their daily lives. Our solution leverages cutting-edge technologies like computer vision and real-time GPS tracking to create a comprehensive safety network.

Key Features

🚨 AI-Powered Threat Detection

• Uses computer vision to analyze facial expressions and surrounding environment
• Detects distress signals automatically without manual intervention

📍 Real-Time GPS Tracking

• Continuously monitors user's location
• Shares live updates with trusted contacts and law enforcement
• Provides accurate location data during emergencies

📱 Multi-Device Integration

• Works seamlessly with smartphones and wearable devices
• Ensures accessibility in various situations

⚡ Instant Emergency Response

• One-touch emergency button for immediate alerts
• Automated notifications to emergency contacts and authorities
• AI chatbot provides real-time safety guidance

🗺️ Safety Heatmaps

• Visual representation of risk levels in different areas
• Uses historical incident data to identify high-risk zones

Technical Implementation

System Architecture

• Cloud-based infrastructure for fast data synchronization
• Real-time collaboration with law enforcement

Tech Stack

• Emergency Alerts: Twilio & Firebase Admin
• Location Tracking: Google Maps API & Folium
• Safety Points Locator: Google Maps API
• Community Support: Streamlit & Firebase
• Authentication: Firebase Authentication & Streamlit-JS-Eval
• Time-Based Response: Datetime Module

Getting Started

Prerequisites

• Python 3.7+
• Google Maps API key
• Twilio account credentials

Installation

1. Clone the repository:

   git clone https://github.com/mithgx/ThunAI.git

2. Install dependencies:

   pip install -r requirements.txt

3. Configure environment variables:
   • Set your Google Maps API key
   • Add Twilio credentials (account SID, auth token, phone number)

Running the Application

streamlit run app.py

Future Enhancements

• Offline accessibility for areas with poor network coverage
• AI-driven predictive analytics for personalized risk assessments
• IoT-based wearable safety devices integration
• Biometric authentication for secure access

Environment Variables

Create a .env file in the ThunAI directory with the following content:

TWILIO_ACCOUNT_SID=your_twilio_account_sid
TWILIO_AUTH_TOKEN=your_twilio_auth_token
TWILIO_PHONE_NUMBER=your_twilio_phone_number
POLICE_CONTACT_NUMBER=your_police_contact_number
GOOGLE_MAPS_API_KEY=your_google_maps_api_key

You can use python-dotenv to load these automatically. All sensitive keys and tokens should be stored in this file and never committed to the repository.

License

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