This is a prototype for the project "Disaster Management using Generative AI."

1. Clone the repository:

   git clone https://github.com/your-username/DisasterManagement.git

2. Navigate to the project directory:

   cd DisasterManagement

3. Run the Flask application:

   python app.py

4. Set up Ngrok:

   • Navigate to the folder ngrok-v3-stable-windows-amd64.
   • Run the ngrok.exe file inside the folder.

5. Start the ngrok local server:

   ngrok http 5000

   • A new server will start at localhost:5000.
   • Copy the forwarding link provided by Ngrok in the terminal window.

6. Configure the Twilio webhook:

   • Take the forwarding link from Ngrok and append /voice to it.

     https://<ngrok-forwarding-link>/voice
     

   • Go to your Twilio console and paste this link in the Webhook URL for your active number.

7. Save and continue on Twilio:

   • Make sure to add your Account SID and Auth Token in the app.py program (replace placeholders).

8. Make a call to your Twilio number:

   • Call the number, and you'll hear instructions to describe your emergency.
   • After the beep, describe the emergency and end the call.

9. Recording and Transcription:

   • The program will:
     • Download the call recording.
     • Transcribe the audio.
     • Delete the recording from the local machine after transcription.

10. View Transcription and Disaster Type Matching:

    • The transcription will be printed in the terminal.
    • Google's gemini will analyze the information reflected by the transcribed text and return JSON format
    • The JSON format contains any name mentioned by the caller, address, disaster type
    • It will also give a sentiment analysis based on the transcribed text