ThunAI – AI-Powered Safety Solutions for Women

Project Overview

ThunAI is an AI-driven safety application designed to proactively identify and respond to potential threats faced by women in daily life. The solution combines computer vision and real-time GPS tracking to provide a comprehensive, reliable safety network.

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Key Features

AI-Powered Threat Detection

• Analyzes facial expressions and surrounding environments using computer vision
• Automatically identifies distress signals without user intervention

Real-Time GPS Tracking

• Continuously monitors the user's location
• Shares live updates with trusted contacts and law enforcement during emergencies
• Provides precise, actionable location data to enable rapid response

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