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Safe-Sri-Lanka is a comprehensive mobile application specially developed for women's safety, designed to enhance security for female residents and visitors in Sri Lanka. The app features an SOS button for emergency situations, real-time location tracking, access to helplines, and an AI-powered chatbot for intelligent assistance. With additional features like danger zone alerts and relationship management, Safe-Sri-Lanka aims to provide women with peace of mind and immediate support when needed. This user-friendly interface empowers people to navigate their surroundings with confidence and access help quickly in potentially unsafe situations.

Watch the Safe-Sri-Lanka Demo Video

1. Features
2. Prerequisites
3. Project Structure
4. Database Setup
5. Network Configuration
6. Running the Application
7. Troubleshooting
8. Contributing
9. License

• SOS Button: Instantly send your location and alert emergency contacts.
• Real-Time Location Tracking: Monitor your whereabouts in real-time.
• AI Chatbot: Get instant assistance through an agentic, RAG-based implementation that provides intelligent and context-aware support.
• Helpline Access: Direct access to various emergency and support helplines.
• Fake Call: Simulate incoming calls to manage personal situations discreetly.
• Customizable Settings: Tailor the app according to your preferences.
• Danger Zone Alerts: Receive notifications about nearby danger zones.
• Relationship Management: Connect with friends and family for enhanced safety.

• npm (Node package manager)
• Git
• Expo Go app on your mobile device
• Ballerina runtime (for backend development)
• MySQL database (version 5.7 or higher recommended)

• api/: Contains the Ballerina backend code.

  • safe-srilanka/: Main backend application directory.

• apiControllers/: Contains TypeScript controllers for API interactions.

• app/: Contains the React Native frontend components.

• Python_backend/: Python backend services.

  • Chatbots/: Chatbot implementation.
  • Call and sms services/: Services for calls and SMS.

• services/: Contains service layer for the application.

• db.sql: SQL file for setting up the database schema.

1. Create a new database locally using thedb.sql file provided in the project.

2. Update the database configuration:

   • Openapi/safe-srilanka/modules/database/database.bal
   • Modify thedbUsers anddbPasswords arrays with your local MySQL username and password.

For the application to communicate with the backend properly, you need to update the IP address in two files:

1. For the backend:

   • Openapi/safe-srilanka/main.bal
   • Locate theconst string backendIp line
   • Change it to your PC's IP address

   Example:

   const string backendIp = "192.168.56.2";

2. For the frontend:

   • Openapp/const.tsx
   • Find theBASE_URL constant
   • Update it with your PC's IP address

   Example:

   constBASE_URL='http://192.168.56.2';

Note:

• The structure of these configurations is different between the backend and frontend files. Make sure to use the correct syntax for each.
• If you're using an emulator, use your PC's IP address.
• If you're using a physical device, use the Expo link shown in the terminal after runningnpx expo start.

1. Start the Ballerina backend:Navigate to the project root directory and run:

   bal.bat run api\safe-srilanka

2. Start the Expo development server:

   npx expo start

3. Launch the app on your device or emulator:

   • On Android Emulator/Device: Pressa in the terminal.
   • On iOS Simulator (macOS only): Pressi in the terminal.
   • Using Expo Go App: Open the Expo Go app and scan the QR code displayed in the terminal.

4. Python Servers (Not Required already deployed in AWS):

   All Python servers have been deployed on our AWS server, so you don't need to worry about running them locally. However, if you need to run and test them:

   • Request the.env file from us by emailingteamcognic.ai@gmail.com
   • To run the chatbot part:

     python"Python_backend/Chatbots/main_chatbot.py"

   • To run the call server:

     python"Python_backend/Call and sms services/call_server.py"

   • For the call server, you also need to:
     1. Download and install ngrok
     2. In the ngrok terminal, run:ngrok http 5000
     3. Take the public forwarding URL provided by ngrok
     4. Replace theserver_address in thecall.py file with this URL for smooth integration

Make sure your device/emulator and development machine are on the same network for the app to communicate with the backend properly.

If you encounter any issues:

• Ensure all dependencies are correctly installed.
• Verify that your environment is set up correctly for the Expo app.
• Check if the required ports (19000 for Expo) are available.
• If you need further assistance, please contact us atteamcognic.ai@gmail.com.

Contributions are welcome! Please fork the repository and create a pull request with your features or fixes.

This project is licensed under the MIT License.